.. ‘ l. \. $5. .I. 3..) ‘h 9.} 4 v A 113.3! vlsvllt 33 9.53 can... ..8 83 .mEEw Eugen}... 0.5m. .860.on _ army 583m 20: 3:01. am: 8:833. 83850 .20....03. Amomdwfiv .68:ch mm 29 ..o mocfimfimm. 3.52.03 «£333.52 encap— Hoc Ammov 88m :35. me<>>no$ 8.638. 52 as... 83.8. %ch no: -6de 250:. 2:9: .m> coma Co oncom. 92.208 03.3222. .9 2.5558. 8... =35 w 888%.. :35 an: 969.08 M. 9.3805 .8 E3025 :91. 25.5.9 coamtoamcg 85%.??? auo_oom._..m< :35 8.3 £9.65 Rec .obmmmoooc «o: I Aomov 2590. $0.: .83. 89.an 3:88. :85 .0 mc_.__xm-mo. Ev 5.8:. @9899 8889.. 53% 5.; $85. mEoumam noon. mEoocoo m.m;oo_m_ 91 000000.000. .30. 0... .0 0.... p50 ...>.0..:m 000.. .00.. ..0 .00000 wixfl m. .. 0.55 . .5. =25 2. a... ..0 0.0... 00:50 000. ..0... 0.2.3 .0000 00.0.0.0 .0. :88. 3.00 0 0006.: 0:0 000... .0300. .00 0:00.050 05 33 30.00.. .0008 00% 0:0 .:0.0Esm..:0m 0.. 0. 0.000.. 030.... .05 9000000.... 00:00.: .0 00:00:00 300.... 80::000. 0.600 0 0:0 00.8000... .0 E050. 2.05080 05 530.00 000.3 ..0 0.0w000 0... .0 .230 .0 0w00.305. .0 000038 0.00000... 00 00.0 :5 0:50:00 0 8 00:50:50. ..00::000. 0. 0.7.00 0 0:0 000. ..0 0:0... 0:: 030.305. $5.00. 0:0 00.00000... .0.B.:0..w0 ..0 000:. 35000:. J00... .000 0... :0 2.0000000 0.000.. 00.0000. 00.. .0... 0000000... .5305 0.00.05. . :0 00:00:0000 0 0.09.8000 0.0. 05 :25, 0.3. 525...: 80.00.00 0000000.: 2.80.5 0.000 .250... RENE Q0 050: £03000- SE... 5.? 3000:. 6.... .0»... 00000 00.6.9... 0:0 .085“. 68$:th 080:. 50.0003. .m. 0305 3:00:00 86:00 0.0:. ..0..0:.m 9:. 000.0: 0.. 0. 000: .. .00000 3805.300 0.. 0. 00.0800 00. 003 500000.: .530 .0... .:0:.00.w0 0... 0. 0500 . 0:0 .32 moomk. <0 080.). £08003. 92 ...0000.w.00:= 000.020.. 0 00 :0w0n .0... 0.0530 50.050 ..0 0:0.» 50.003. 0... 0:00.005 3.0 00.). .0. 00.. 00.0 .000 .00: 0.50.002 :0 0:00.200 0000.. 2.3 050.3. E00 .3505 .000. .88. 858 0000 ..0... 0.2.3 500.0 :0.0....0 .00 :0000. ..00 0 00.>0.0 0:0 0000 .0>0...0. .00 0:00.25 0... 0000 30.001. 80.0.0. ass. 2:8 08. so 0.0..3 5.3 00.00::00 0.0.: 0.03 03 ._ ..o 3:2. B 2.53 0008 .5... . 000.. w:.0.0.\w:.30.m .0000 :0000000 500.... 805.000. 0. 8.000 0 0:0 0...... .0 030.305. 000.. ..0 02.0000 :0 00....0000 0.0. 0... :0; 0m00.305. .0 0.....0 000. 5.3 60:500. 0. 0.0000 .0 00:00.? 0w00.30:v. .0< 0:0 08. ._ 0.0E0xm 0.3. 80.5.00 8000.0. 5000020 30.05 000 U 00>0.0E. .00::..:00 m 0.00... 93 .00:000.0:0. .30. 0... .0 0.00 0::0 ... . :0 000. ...0 ..0 .0550 0:30. 0. .. is... . ...00 =0...0 0: 5.. .0505. .3 0.0.. 0 003 2. 8.... 0.50.0...0 000.0. 00.. 9.3 63...? ...UESmEOU «.09 mm“: 0.0.0009 “VF—m JCUBEDw 0.00 ...0.003 000. w:..0:..:..0 ...00 08000.. ..0b:00 80w 0. 000. :30 ..0... 0:50:00 0 0.0.50 :0... .050. .00:00.0 .0..:00 50:00. 0.000.. 00.0..30.w 0. 0..000 0... 00.0.0 0.0. 0... 5...... 0 w:.0.. 0.. 0000 .03. .0..:00 w:.:.0w0~. w:.:.0w0~. .m 30.0.: a 0:0 000. :30 ..0... 00:00.0 0. 0......0 0.0.0000 :. 00.00. 0. .:0:.0>0:. 0... 0:0 .0000 .00 000.0. 0.0 00.... 0.00.00: 0... ,00000 .00:. :. 90.0.0 0.000% w:.0:.0:.. 80020 .00”. ...U»: 030 .0 0.00:0 .E0.000 0.....0 0.0.00 0... .0 0.50.0 .0.0:0w 0.0.000 :0..:...E0.0 0:0 w...00000.0 a 0:0 0.0058000 r.000. 0 0050.000 0 0:0 00.00 0.000% w:.0:.0:. .0.:..:0..w0 000. 0:0 :0..0:00.0 0.2.:0tw0 0.000 .w< .0...0:0:. 0.0 00... 000 0.00.... :00.0...0 0E0m .0...0:0:. :0 00505000 0 00....0000 0.0. :0..3 .0530... 0.055.... 2....V 0.50.0 ..0 00.55 .m 00:00:00 0 0.00... 94 .000. 00 0ww0 .0 0:00.020 .0 00: 05 50:0 0.5.:00\0.0E.:0 8.0.0.0900; 0.0 0:00.00... .05 00.0.0 0.0. 05 :0..>> :0..0:00.0 000... .0. 000: 050.0...0 .0 000. 80.0. :0..0:00.0 0000 .0:...0... 00.. 0... 000 00 00000.00... 000.0...0 E... 00.0.: 0.00 0... 0.0000 .0:0.>.0:. :0 0. .000. 0. 00.00: 000: .0 00.05.500.000 w:.0.>0.0 .0:..:0 500200.003. 0 :0... .050. cm... 0.0.. 0:0. 0:0 .0... .3202. ..3. 08.0.5 0... 000:0.000. .0 .00 0 00 5.0.00 0 0. E000. ...0. 05 :0..>> .00 0 00 0. 0050.0. 0. 3:00.050 00 0:00.020 0000 33.0.... 00.000... E... 00.0.: 0.00 0... 0.0000 .0...0:0.:00:.00 .08.:0 5.0.0.0903: 0 :05 .050. gun—v 0.00 0:0. ,0:0 .0. 30.05 ..3. m:.0.>0.0 .0 .00 0 00 :00.0...0 0 0. 0.0.0. 0.0. 0... :0..3 .00 0 00 0. 00.0.0. 0. 3:00.200 00 0:00.055 .:0.. 05 000 5.0.5 .0:0.>..0:. :0 0. .000. 0. 0.00: 0 000: ...0. 05 :00? 0:0..0...0 0. :03» 0.0 00807. @256 mu:..:|0zl 0.0.:0xm. 0.3. :0...:...0n. 0000 0.0.0.. 000m 03% 050: 00.0003. .0:... 5.3 w:..00.: 000000 .800 00000 00>0.0.:. 0:0 .0:..00 doom 8:0 0.00:. 00.0003. .0 0300 0.0.. 0.00:.0.0.0\0:0.:.00 00:00.00 ...03 .0:... . . Dun. .0 0.05008 :0 .0: 0. 0.... 00.5.00 0.00.. 00:0:.0.0 :0 0. .05 w:.0:0.0.00:: :0 0. 0800 o Dun. 0. .00.:00 0:0 0.00.8.0 00000 I w:.w:0.0.. .0: 0.0.003. o 0.00 5.3 000.07. 0:50.00 0. 0:0..00ww:0 0.00.... w:..0..:.0:.0~. o ”0020:. 00000 0. 00000.30 ..0Em .w:.00.0>00 000.. 0>0.. :9. .05 0.03.00 00.0,. 05 5.3 00000000.. 0.. 0.:000 0.5 :00000.::: .0 :0.000: 00 0.08.00.05.00? .0 000. 05 .0030... 0..0 0:... 000000 0 0:2. 5.3 w:..00.: .05... 00cm .33 080.). 00.0003. .2882 9:3 . . oo 8 Eu: 0 a 9 85 SE a 8 3535: men .moocumE: 2:3 338%“. “mom 3 meow—03° a fix: £050 a magnum—”Eu ofinmontomowbxuwaxo ~on 05 awn? 8 33a 3 m_m§:< 536 85332 .mosmmm 5330th 8 REE“ .fimou 3539 255E 5:38 5 8 HERE :58 85 szzv <2 2955 BSE mo .25. 55:... 5:58 53“ 05 555 330:3 650 8:. =a-.§~0 mags—8&2 fimoucou 262 . E3 :03 PEEEa 2: 9 362:. 3:: Ea 206328980 A225 2633.55.“ Stun 08:33.: ‘5 Susan? .8 355253. $5586 8 28.950 5m 20:58:. 52: a 98 285:: 5:82 a 33238 osm Eonbmg 28835 .5 23:5: 8 when: “x8 05 5:3 £563on Ea 28 Eugm 0:5? 250 not: .5 23350 ..8 £53305 Ea A225 ...oéquzu 5:3 28 0630353623? “8 WEQEBSUE monEmov ho 28.050 5.. E058; aozE u can 05:55.28: : 35238 cam EoEumob 055:5: .8 05:5; 2 ran: “x8 2: 555 303303 Ba 88 7855 05:5: 250 SEE”— MO 5.3% 05 Eat SE32 Ea Eat—0.5:. .0535 HE? @238 doe.“ mm 80E 5125 $093 5508 39: 98 $55 @835 @5532 5 wwwu 5 28630 («o 3: 05 SEE. Fiofltm—mgfiw 55:85 .908 he: c5 05 Joe: S: 3:55 2: 0E: 38: 2F .EEEUSBE EN 28320 85 36% “x8 05 5:3 .5; vow: 88.020 me SE 8va 5:268; #50 35%.. 62.5.28 v 93¢ :3 z 305 051400005003 5.83003: 00 50.030 £05 00 0: 00: :05 0:00:00 0:: :0 0000000 0: 0:0 E0080 0 0: 0000 00;: 0: a: 00500 0_ 03% 000500030: 0:: 0: 00:00:30.3 Am>zv 0 :0 8:003:08: 00 502020 0:: 00000000 08: 0:0 :0; 000:003: :0 0:00: 00 0_0E_:< 00:0032 in0:00: 0000:0300 03:30: 0:0 0E00000 0:00.030 w::0_0: 00 80:00 >50 5000 03350 DB 0:0 0:00;»3: 0:0:50 50.030 :005000 50:00:00 :0 0:2:30 w:_3:0_0 0005000 0:0: 0;: 5:3 00:00:: 05 .«0 000000 5:0 :0 000x050 9:03: m:_50:0 :0 ::0E00:w005 0 00 0x0: 0:: 00 5085005 05 :0 000000.: 0: 0000 00:... .. @2000 505300 29:00:”,— 03M 8:05:00 0000 0055:: 00330 \0 0502 0000003: .8903: 505 3000:: :000 00000 0889:: .oooQom \0 080:: 00000001 .0 03§ A8805 33:03 8000:0005 :0 w::0=0£ 0:0 0:0 3:000:00 £0003 0:00:00 :0 0000.: 00:0 00:0 503000 00w00h00: 00 0300 00000 05 00:: :2020000 00:0:0w 0 002 5380:0000 0000 0: 8:000 000:: 0: 00000:: 0:; :05 :00 0w:E: w:0:00 0300:8500 @009 0:0 A8503: >00 :03 0000 0 50:: 0mg: (:0 0w:0: 0005 0 mg 5000 :0_020:00 3:0:0w 0: 0:: 002 0020 5:532 0:0: 00 00: 03000008 0:: 00 0:0: 0200: S502 :000 00:52 0000 50: 0 00 :00300 0:0 0:0 8:003: 0:0 50:00:00 00000 0: 003000 000E 2 5900M £05 00500:: :00”? ooomEN \c 080—2 00000032 97 $38 05 no 32955 Bu: 8865: $82 215.3 25.... 69: $623 2953 2 ha 2? zinc. 05 $80 £3.25 05 E. 33: :6ow 0:0 5 wwwo =w mafia: 2255 Sac 550 Ea 3325 .23 on 8 magma mwn8 9:82;? 5 358 £30“ mic—Em "Emu 65o ho cow—039 221v :Eofiwa 396 oEE: :oEEoo 832$“: ‘5 E2382: EB mfia mom: can 05 5:3 05 8 3.28 BEE. mo 3.: 25. 5:5: $98.50 262 .35538 m 033. .mEmEmASme Econ .33 axetowug ...mutafifiue mugs: AS: MEK 6&3 3.959: a 35:: 232$ 525$ £363 :9.» $53 $9: £3.53 3: 5:: on 2 2:3 2 38.28 5 ha? 3 nmtmxs we 58 ES 38 has «286me Eamx‘zobumsxmy 38.3% 30:3633 an; ...ozafiozm 5on :02: a 28 288:: :28: 2 35228 25 .wfiun :25 97:55 2: 8 382% is: £923 wE:o_m_>o.a 28 28 0&5?“qu .o 03:32“. 5% 85:52.62 montumov do dang—58.: 28:55: 8 055:: 8 338 ~on 05 555 $8320 5% $252255 25 Emu 225m 225 Eoanfi 25:5: MESESEQMSVSEQ .33 ‘32:“ 3.5% 83 Estatonmm «93x .umhfiufi x -EwESeEeQexitu .mEa S: SE 95: .muczmcoflom 3m: fimvcoxuiu 35 88% go 3325 mo 95% :95 a 8 2:232: .8 .3 EoEczom 05 S 8223 bzmnoflua Pcoono 3:222: \a MEmESEmnxz a. 55x 8 m3:— EzoEnn E 25... 05 montomuv «x8 05 555 an Mo 53:83 2F Q Ma: 82.285; .5225 33262 5 2 “£8 2 do; 05 02. 8:8: mom: 5 3552388 25 MO #3535 9:235 coy—22o on“ he Demo—u 38m? .2325 52 8.9: mom 2: Enema 39:22?— 5 «on a as $5330 .8525 :253E8 t8 mica: $622: 2E. £8 .28 Sm n322.5 gem a 2 E28 :8“ 05 55$ .5 82 n ma GEE—QED :95 no; 382 Bmfiaxm 23x :oESLoD mg bmoucou 298:09 ESE .88: 28 83888 .81: .maowwfluc @585 398:8 35% mo aeratomoo .3388 Rafi .b «Eek 83$ ”:68 m vans/Ema? 99 :5: 5:9: 85: MES§V¢ 5.5.2.9: : :::o:.w:wh:=: :: a: 33939 M553“ 6382:: 5:8 12:3 32%.. 3.38:5. a: 3835:. :33: 5532 335:: 85:5.» 5 353:: .332 85:29:? 5 8.2:: 8 “SEQ—E E03 85 ASS: wEEM 5 @2523... 393.3%: .. £3 ‘98:}. ., 3:859 85: :8 2-580 szzv 3058:0022 «SHEER 5:3: -5: :QEQQE 5 M553: MO :e\mwmw 3: :5 $3.? .:ou8w 05 Eat ban—o8: .905: :8 2:: 389 :o.::u:: 3:: 295: 8:8 mi: 35.5.: 3: 8c: 8:233: MESS: 8,355.35 5 a: Luiwzu~m\o «BESS: mi ficesx :8 :8588 .2895 :23 B58: flows: 8:88 28E 28 55$ 22:: 55:23 :0: 28 05 Joe: 08: :c 25: mm 82: 522:0 5 wwwo 5 28.030 5 om: 2: 55:8 85532828 $23583: o8 282:0 2 33.2355: 83:95 at: has... ..Eu 8 E o>= 03.. 8:3 885 :8: 05 5:3 9 :38 .5 5282833050 a: 3.35 5:55 a: 2:: 8: 3:25 05 2:: :8: BE. 85 88.; “x8 2: 5:3 25.: .8 .8825 we .82 2:. Aommv :25:on Eetummmfi E :3: 8.83:: 6:30.59 3 3:: x .858 :o\u~:w:$:.5vm: 8:65: 83 .cooEonst: 8:33: a: 36:: bad» 3 05 9 8:89:86 8. w: :8 8:255:12: 3.5: .2882 Eu 3 .58 .5 58:82:: 5:: 89:32: 8282523 MES: b8“. biuoamo J3: ”w 3“: QMEquo 28.8 $8: a: 2 a: 35:: v... :35 8 $8.25 8 52 2060 36:98 :8: m5 555 5 80:89:82: 8 28320 Am>Zv 882:2 n3§§ . 528: $2229.. .m> 9230583 M3858: 333.85 2 r58: 0: mo: 8 85 8:3 ME: :8 A 8:28 his: 5%.: 5: 8:: =5 M33523 90:. .8:— 2205 >52: . v harem .mw, 85:3 5: 2280: 33: 2:85:82 QZ< .28 2523 £2.25: 88% ”83 on 5: 2:05 55:05.: 0E: 0280805 52:3: 53:: WE: : MES: :05 802 885 350 MO 5 230% DJ 5 80.8 :38 . 5 :85:— 5? 38% \e 83:8 2: :2 a: :5» :3 : E8: 8 :o w:o_3 $5222; .8 E w:o_3 5: 80: 5 80: 2.8% 5 :25; .325 on 5va 38m .855 5 5232823050 .3228 o 2.3 100 .00—335:0: 35% 23o 0.3 :50 2:898 :08 .50 .80 55:00 :28: m. H. .035 . .5: :95. 8 a... $0: 05:: 8 083 0: 00:5 0:00.050 :88: 08: 0:3 5:053 :80 ...0883 08: 05:55.; 05 mole .8558 8 :0 $0— 08000: ::8 .E0_0E:m.:0m 0:500: .:08 :30 :05 00.85308 0: 050: 8:50:00 8 55:0 :85 :058: 50.50:: 8 9.0: x: :08 :05 55:00 88:99 .:0:0::0: :08 08:. :58 8:00:00 28 :08 :30 :05 00::05 0: >538 M0300: E :050: m_ 50505.: 05 :8 £30 :8 :88: 0.8 5:: :30 .50» w:_0::o:m 0:.=0>.. 05 008:0 :8: 05 :0; 9.5.83: 0: 0:00: 05. 55:00 m558w0m .: $058 E002» 508% :5 .5 D880 05 .«0 wig—0:5 508% 55:85:: .mww0 .5 >753 8|8w ::8 058285020 8.5:: 8:05» 8 28 £058 E0008 wig—0:: .0:—£50.58 ::8 ”57.00005 :08 28 5:03:05 05:30.58 80 m:0v_0_:0 05 $80 30.2.: 0.. 8.83 :28. v.5... . :8 35:80: :8: 05 5:3 0: 0:80: :0 00522 . .802 8 3:008 08 .65 8.58:2: :0 00:02.0:0: 0.80m-_8_:m=::_ 585:5: mommma .w< 38.0.08: 05 00080 80:. 5 80 0:05: 5:25 050m 8 008580: 20: 5:3 05 .5 03:00:80: 805:0 8.532: :0 fish—0.5 .m 5.558054%: . :w: : w5:::8 855:: M595: :00_0._..:%:MM8 :MMM: 20 a 8M 0 3:: 02:55 5 . .. 5 53.“: “Sikh—“0:: 3mm: 85 0:0:30 50.020 :0 5.0% 50.3.5.0 6.3:: 0.0.8505 8.5.x 52:82E :82 :8 38:0 .. .2 0:0:0..:U Mia 88: .020 880 .a 80: 9:02:82 :0 0:00.020 a; 300: 0:3 5.08:3. E8: :08 w:_m_8:\w£30:w 528 :W: w 0.“: :0Mm0 : .m ...Eoc 0:80 :08 5:80:20 :w=0:5 60::000: 8 0 sum. 5: 8 Li... w =5 22.3 5.3 852.80 9 0:.30 a 05 0...... 00.00.55. 88.8.: :. : : 8 8 . 05:: 0:03 03 g: to 5:0: :0 0w:0_30:0_ :08 .5 00538 :0 2:5 :08 5:3 80:58: 0w:0_30:v_ .0... 85 88: .v ...::0.U 81:85 ENEISQ 02% :DENEQVQ 88:53: 5:03:05 E885 3:558 0 03.: WI 38:8 :38. has: 05 E owl—3m a seem at“: 55 .m.D 05 $28. 836 E .wiwmxofl 8 wfimwuooa £02323 03::on 06 he ,8“: £5 53:85 2?» om: mo ~83 3:58 a ”:58: 0303 2.: £08 :82 mo SE was 9:55 53.25 595 05 $0.55.: an: 2: 5:3 coo.“ mo gen—BE 82:on Cod woof.— Boo: .omcom SEE m5: 359—23 mzwm ESQ fieQuEamce .mmoacoaafin 83585 35 .mococto: £02053 AEEESQQ 2 E53? 5%» 55 a can mocznmo: Egan: £02056§ we RE wEon n08 mEBEosu no em: wmcamuei 28‘ .8 .333 @535 8.85.6: 53on can we Eamon 2: ho £ 55:55 05 3355:» .5 8.62 2m mi 33: umutmgmxs ESE nzocofifim Eon“ mEoocoQ of» 2&ch 05 .2590 we 36 2.255 main“ 93 “58 E thmh 83 v.38 his $5: $25 $08 .23 Sm 82 2: .823 :8“ 05 5:3 mEBEw he 80:an .mom 5&8 9:390 .mwwo 28¢ wficow \moqco >2: ham 95:30 5qu0 555 m0 8:0» x02: .09.: .23 wwwu Em. 35 . . m5: 3:28 2:83 Eofio :60 .23on ES Lox 8:: 2t :5 456 98 E . , . . . 560 83: mmoccmot 5 $58 “8.: go mmwo So «:3 I nMMmF washing =£ 0:0 32w :55 @2333 a E Saskaxzcu a & m_>an_ SB .m :2: 5 88“ 5:33 ma: coo“ £560 ‘8 23x3 Ea £28 cage .< . . 2 5 n— 35 33% ca: 2: no; .823mb mo mcozfiuoaxm Cmm-vb 33% . Emmg EwE. 55.5 3.22:: a mu wicfifiuu 8 368 mm 8: 93 Sc fl b.6533: 2: >8 E85 5:020 m m 3.31an .6 «8.x...mwumniko MO .mwwo nousnoaimafi SEE: .3 509:?» 05 Eat 8x8 8 $595.80 :52 5 ~38: SEEN NEwEM 55 3:28: can 553 «£28 couusvoa a 28:3; .NQZ rahuxhoiuegs m. 85 858 v08 933.2 a thS 3232 .393 3 2:: 06.305 m5; 2% ..v .5505 S .88 wctzvoa mo 8:989 ho 369:2.» .mBEnm . . 06 698 83% “x2 05 52>» 8:28 .85.: Jaufibfi 5945 F23: .3325”. c 033. 102 _8_ 203508 EB... cumegov £3 :maoocéoomir E828 BE .2388: 23.3 . a 93 v08 92:25:“ Eob venofiavv 82> town‘s 20530:: 5586 ..nozosuoa 236%.. $3250 .2288: 38:8 E81,. none—gov 225 226.605.. smack: Lon: 33280 $32 45.8wa wage urn. $5.5 5:69 M~ S REES .833 a MERE ma :3 M35 .En Cocoa 05 :0 53:2: 32% : mo .38: :55 5:5 9:38 55> 5.5830 wEv—wfixocofi a rcfl : .2238: 05 .5.“ Bo: £62? a ma wwwo 8:53:09 no 6:505 m33£b=8 5.56598 “58 go 9E2 E .358 m_ 8 £258 32% 286E» wEflE .05. 20:88: a E Aommzofio 98 36555 82:82 mo :2: 33% i8 05 5:3 6253 he "consign 2F 8:5 :9ch 22350: .voofionswfic a 55:» «22:5 SE5 mfizflzuE . :85 m9 223 2 who.» if 35.52 Avwwiowmd Emma—m: 339: .3835.» 3.5; S . 5:9: £8355 human—53 238 53 M2329: 8:525 __ 32:5 Ezozummcabéo: ‘8 8k 3.2.5.:ua 5me 35»th bEzEEon. Noam a 8m wacufiwcobm v5 .8585 Br .voofonswfiz a 55:: Le .Ewmzum 3.3.30: $:.3.=.§ 31.0.. mag—QED MO 3.3.25 3.9.35 mos—>58 “moan—88m mus—Ea Una 253929: @233 5&qu $3 $5.»va 2: fits Ami 8 53 33 gm “2.86:6 $5.8 .2353 8529mm? ASE/SUV M558 3 2:5 Eocxmsz :2: 9:5 flee—Eon och 3.: 85m 23. 05 can? wficofiwcubm a 9:320 wiESm bE=EEoU £85598 band :0on 325:: 05.. 33 .5526“: 28.020 waive. :2.— oh MO 833 can :o.:==om MuscOHme—wwwufim EHfiHMo 5 55650 355 0292: . sum. 5 m. . u a _ 5 3E 35 $385 oEmESmsm 3 when :8: 5:53:325 8 28330 cm: E050 =cm 8 58m A Ewe 8o swan: u BawoBum Msuwzgmfi a... :8. uni—Eu.“ 52% EB 3538 H. W885 “Magmwwuo: 2: uh" mi Efixmwxnwuem ”NAM“ QR“: “momfiafi Moflwowflmm Meow—«E wee—5235 “.2: he E859 E32333 _8_wo_80 and w .n . F .N . ~ H x .n 50 a 83898 .x8 05 5:3 EoE:oh.>=o 05 Em E0250 Scum: umfim _8_wo_oom .8228 o 2.5 103 32*“?ch 2.3 :5 $32.6 \o no}: 2.. 3::e\b~u.6mmnm LSOHM mce: E2: .3023 REE a 3m 2? :fime 05 $05 :uquo 05 Ev EB: .3813 25 E wwwo =m wEEa: :flofiwfl mango uEE: dis—Em 8.5 $50 was mcoquu fits on 2 MEZE $5; 956.20 5 83¢ .moxoq =oEEoo moo—55%“ ho fioznuuoe was 2:5 mom: c8“ 05 555 2.255 E8 550 8 53.25 05 8 @822 5:5: we on: 2F 225 88:: .«wanb «Samara .8 $3.3.» .3§:.€3\o :333: anvx 6mm 2 mm Eoc wEwS: 3E 5:5 :28 £393 6.5qu”. ..8 wanton 2:62 8:6 3:8 be: .Avomomoa 8 8053 So duo". b6 .35 éEtum .mchn Joan—25:0 we 3:25:32 Ea 22:2an Soon £52. 55.3 .8 wigs" 5.5 65o 5 28.050 wagozamfi .5 w53o=~ 85:65 5 8353c an: 555 :06 2: E £8:qu 3.32? S w—EEEoE ess— comoaoa Ea “gonzo Rae cough—£5 85:65 ism—5&3 5» \e 33.; MSEmnlew=u “#29: .6322: 6:2 3.25228 3 3 2M: 2‘»st totstwuwxa. docs—En umzozcoohw 8 gm can £5an .23: 838 ES 28.030 05 “no.“ x2: Ban 3on Bus? «En c305 wwwa $352: 2258 wEmoaaO 283%: 98 mEoucoo .28.qu mfimfit we Seams b5 Soon mEoEo DE 98 foe—Eu: 50:30 5225 5953 5:533 .5 22:50 wczzmmfi mcoquu wEmE 3:85 05 mo mi :0 Emmauokfi when as muntomov E8 05 5:3 Seams >5». co EoEoEwmmE pZoUV concoEoU :8620 was $3.5 :33 33 .3385 5:30 5953 3:30.522 Amvcoonu can SEE: ta.» méawm: 3 $339.59 :9; “Eamon a mo hofitomou a mm 5253 EsmcoEunEoo n36: “scion 3 55 v8 98 ES. Ba 35 mEE. .. 5.:ch mom: ~on 05 5:3 18 vcon a wccmuwwsm :ozoEm 325 5:25 waobm 382 29536 25.x coat—coo 1% 852: EEK .88: 98 83888 £28 .maoESmov await 3:85 35% go nozgtomon— .382? REL N m3£ 104 803 33528.. 5 $8905: 95 88.020 mm :03 95mg 220: $2.“— Ea—tom wclmsz 053 525qu o— .mEEfi EB» 133:. 5550 Bo=a 8 8305 mEqu b6 ”ha 2 go £8583 3m 8 b3: 33 45 wwwlo :05 Sm m5: :35 8:2 2 gang—52v $.95 SEEK 3am 3mm ‘33:: Emma: RENE—N. ¢ 3.83 EO “8325 .8 SB $06 5355 8 mono: cook mmoonv «no.8 Mo 9:: ofi 5 ”8:05 53.5 35> 302V 35:. in; 302 hie—m 5:25.. coon: A: w ham :8 as: v 8 woven: Ga :32 38m 2 mm v5.5 <2 coon: :a N. 8553 b5 ”menu—2:0 m: wfiaoox :o wczcsoo mzfimm mace €305 dfiEé geomeo 2: €555 .38: Em 88: S 0 but 55:. onto 8.8 350 v5 93.25 26» 29630 28.qu :o 22 ED Swamioz 8on :w w 080: 022:: a A8733 mBoZ bin Max:502" mo=azb «:3. 803:» v 3 Eng 5: 05 8:2: “882 wEBEU 6:832”. 53;: 8:: uwSEu 9 women: .6550 A935 055th wEEoE :onqu 2.33am Fox coon: E. m .53in um: 32% mango Eat Exes—a 883:? “on. mEEoEso coonu 30:32 32 EU .xE 25:0 395 3868m< Nag—=50 .255 ooonmB N E 08. Ed 03 .8 ~85 g :32. EMMEQEC $62 595‘ ::< :5:qu Egg ooomEe _ mEE zocsou b5 :53“; ”025:8 2 can cog—3:0 2:? hommmmBoZ ho£=< 3.5 55:52 3.930% SuQ Nit .382 «m2: 8 .320 88m cowgtw £25 98 ,anmamBo: 858 £853 dogging mo 83w @5535 83:8 H3336: mo sewage? monouomum .3058 Saw =sm .m m3§ mooaom Sam 0 XHQmema.‘ 105 :35 :u 2:83 8 :3: 29A =w Ea :ouaEEoBu 0E3. 6:: 8an Eu» 2:: < ”zoom 50> 953— :O b6 5 28.qu :8 £8 _80mo£ AfiwEgiv £502 :32 52 502.502 NW3. 88:. :m vm =aI _U :o 3.8 9 5:30 :2. mu: m 8:8: 8EE :5 owSEU fl 3x5! #82 ”SQ _ ZN mm :5: >230: :3 8 03:: mo :53 ”:3qu .5: :8 when 5550 _U o 0:5 E = no 08 383:3 8 :o 5m 8:5 .83 a. 28m $2: 33683: 2F £5,302 noontm. mm 3:028: 25' :33 a. 88m 32: vBfluomm< 2F 25:62 boom: :3 _N Eu Ewe. 0:503 :8 mcoono mono: 39% 52:0 EGO—23 be; E :08 n J03 be; :0 :oono < 95> 302v moéh xx; 302 SE 05:05.5 Scmata on an: :o>o vow—Bu: «Ea: 2:0: ,:32:o=62 “vacancy. 28.25 .38933 :83m 5 32555 page a E .82 8% a 53 533 2225 £85: 52 8823 M: mwo: :5 $8 5:: :55 0:53 8 En 9:058 b6 05 . fl :5 .83 3.33: 2: 38m baa :55 “new 9qu 308 2:25:53 9:: 33:: 35:50 280: $95 “Eaton MEEI 38—. RENEE S :5 voSEmg—m on “.58 52;? £5: ofl 2 v5 mmam DE 0:... ”325.58.. :23 £53.25 950:: 2298: 5.5m 3%: to ma 28.qu 839 $502 baa 5:30 5:5: 3133M RENEE @— ?8 won: .Bnom $9: .958 .830: Scum—o .6550 36 zoos—Em “22:5 Er: SEES: 855:5 3oz $08 ASNwEnx—zv E52 892 ::< :oBEofi .< :89.— SoQQo m— afia—mm 8 Eo__u3_u.b_o 80::8 3.2 28.25 wimfix 39m mm 386:? 9 E3 32: 3660mm< 2:. :Bflw EEO >95an 3 3:028.— 55523 :35 222 6:55 :8: Bo: MEN—2 .80 £8.25 :35 3E S Emmi ”flotm coon— ofifith 8:3 2mm 2F <2 Sofie—R m _ mug: wfimfi: >86ch _ _ 62.528 m 22: 106 0 m. mMM0 :30 E05 m:.m.E .05 0200: 8:535 0:0E 00 00.3.5.5: B525 0:: 00.0.0 :. a: wing: 05 3000 05%;.03 05:03: 005ng :8 ”mi E05 300.050 0000.. 9 0:00.. 0:00.030 :35 5009. 08 :0 A02 6030:0200 8003. 0% 0302 E005. 058:0». moonNR ow 00:. 8 0.008 8:8 05.2 H... .0 0E :. 0:00.350 9.8.0.5 :088:Sm-:00t0::< :.0m=< E00.m. M9.0.). 8062.. am 0:00 50.020 00.0.0 .0.:< ..0>0 w:.0.0=.0 080m 053 .000». 0... 8:5 305 08300030. 0:... 2.30302 833R mm 03:. 0:. 00: 00:5 :85 5550:: 0.00M 0.3.40 0.00500800800 08:00.3 5E5 .n E003. 835.. ..m 05:30 ”.58 mibo 0.0.0.0 55.3 2:8 mm: 00.0: 50.030 agate 08 82x02 320 .852 0:92:03? «BEEN: .8330 3 .0:: m:. 05 30:03.0 .30 00:80: 000:0 ”:0 E02... wfiwwm. 0.020 .05 80: :8 0.05.: .08. 0.0.:050 :0050: 0...... .080“. 54.900 «030.0 mm EME =0> .0:: 00.5.: 05 0.00:... :5 .50: b05808 00 500.020 0000. 8 5050... :. .%0. 0.0. 09.0 05 :. 8.0...0 no: a 29.25 :08. :8 no: 8 5.. 0555-82: 002: 5.4. 2: «0 3N use: 83% x 53.03 0. 0:03 00:03:40.0 H.508 00.0808 0:. n. 85508 50.2% 385mm 0.0 E: 2.552 882% mm 3.000 :00.0...0 :35 “003 DU 00355.5 80*. 00:... moEfi «M00530 0:30.302 .3333 Nm 00000.: 002% E3 @853. 60:23:06 2.53.0502. E235 00:0 .808on .m “.38 00:50:00 £502.00 5.00... 00.0 06 0:0 200.050 5.: 50.020 20w...0.20 0302 584‘ ::< E03002 NW: «033% cm .0830: :0 50:. 8:03 00.0 0000.. 0:8 bx: 00...: :0: ..0500 90 00 00:80.0 Emmaéé 0302 505‘ ::< E03002 >03 wooQQm mm B as: 0.0 32.0.02 2:: EN 058 .5 Ba. 2 “50.020 2. 2 a: 09.25 80828. 05233 525: <2 80.0% mm m... a. 0.5. b: 2: a 28.2% 0.5.2 a: .3020 Emma ..0500 H.000: S: . Engagzv E05002 3.3 322%? um :. .50.. 0:50.. 00 050:0E :5 0: 000000 :2: 50.020 0302 58.x ::< 0000 :2 0:40.00 E8 €2.03: :35 00.0 08 :. m m. 8.30m 302 059.302 0.00 0.30.. .583? on 050 0m 0.005 Eon. .0: 5:80 0E8 :5 .wE... uoom .22 #:2355820 0:2..C 5% 05.0: EU. woomBQm mm 035:8 a 030:. 107 50: 0.05:0 w:0E0 0.00... .mw5.:.m 0:00.050 3.0 0.05:0 .05:.=0. 0 :m50 0 00000 .0 0:0.0.> E0. m302 5.00 :0tn0n. ::0::30m. 3:02 8.53:. on 005... 00:088.. 0.20m 050m. ”0:50.00: 5 58.050 :0.. w5a000. :m50w0 w:..E 0:00: W550 .0230 0.500 3:... m0.:.0 m3 0500 5 000. 0 505.. 0:00.050 0:3 .000: 0.0 0:05 amok. 00:0.0omm< 0:... 0:03. ::00w .8095: mm .38 00.0: 0: W500.00.: 30:0 0: fl.0:m 000.0: 0:0.0>0.0. 0.000 50:. 050m .0.::00 «8&0... . 0m .50 ”0:0.:0.m.w0. 0:: :0 :00.0.:0 0:: J98 0500 0:3 205.5 8:5. :52 :0: 5%: Basso: 2:02 8885: mm 5:8 :05. :0: .30.. 50:: 0:0 0:0: 03: @500 .w5.=: >2... .0250 0: 0.500 wow :55 0:00.050 :0::D 00.0 :0: 50.0.:0 5.05 0:80:52. 000:: 00:05 .50“. :m m5EE0... 00.30.. woofito. mm :0 00.000 0: ..0500 .50 0...>m:5m. «0.050 0 0:0... . 0:00.050 0:0 0.00: 00:52 058:... 5m ..030n. :0.. wooQto. .n 8 53 02:20:50 5. 2 =0: 0.0 000:0: 53 00.: 0.0: 29:00»... :< ”00.05002 0:0 .0:00~. 0: 0.30000 m:0:m00: .m:00.0.:0 :0 :0: 0>0: :0: 0000 3.0 0.0... <2 ”8Q .Qo on 0:00.050 0:000:52. 002:. 00:5. .005. .:m m:.EE0.n. 00.30.. wooQKR 00 AE 0000. 0:: :0. 0000... “..0500 50 0: >0: 0...>m:5m 0:00.050 :30 :00 3:00.00: .0 0:02 0:.3 .000: 0... 0:0:w 000:: 020.0003: 0:... 0:.30302 8082.0 wv 0:00.050 50:... 50:< 30:0 50.0 3:00.03. 3:02.350... 030000-50: :w5:w::.n. 00:3 :0202 0:05 wooQto be 0:0.0>0.0 00... 00.50 5 a 5 5: m ”05.00.00 0.009 50:. 50.. :0:... .88.on :0 :0>0 0:0 05:0: :00.0.:0 ”0.0500350 0 0:0:3b0>m. 33:0: 0:.3 .000: 0... 0:05 30k. 030.0034. 0:... 0530302 882$: 9. 0:0 58.050 0000. 3:00.00: :0. >05 050:0m ..0 .50 238 .08 :0 30m 50:» - 0:00.050 :0::D 059:... 00.0.. :.0m 0:... :0.::0:m :0.E0:0.. wooQ . :w 00 :00 53:50: .00“. 0m 50:: 00 A22 r50:00:52. 055:... :Sm 800. :0m ”cog...” m0 r0.0 50:: :. 000: 0:0 me .300w 0:0: 0: 0.:0 0: 0: ::03 3:00.00: 0:800:52 ”:00w 50:: 30» 3.00.: 30. A50 .38 0:0 00: :8 00...: 55:3 5 0: .02 50:59 56-0.0.0... 0:... w:0::0:0 m3. 808$» me E3 20.0.80 50 E00350 w5:30 :0 00:5. w:.0.0:.0 :0. 0:0:0 :0 .500 5.50:“. :0.:0 :0:0 0.0 5:55.00 0:... 5.5% :02 8.50... .0 085:8 0 050: 108 28320 8 a as; 2 .6550 go 02 .832029 Easy. a :52 $25 2352 SAVES Q mEv—uEu Sm ”game‘s—h Eocfifi d5 Eamzxnmcaon—V 962 DEC .5553 2F 5:53 .22. oooQon mm 85590 cow—020 My“. cums—o0 moifiaxo c>o£ 32:; 8:3 saw 2a. E902 .3 Escon— ooomktm :. coo; Bonn o_ 8 Eofismcoo 3 88330 mom hot—on 2F ow=< F83— ooch— \m on 0:520? 820 202 E68 3.28m :35 5 cfiw 8328 3:9 :32 £5 8&3 Essen 552 259; a. you 29 $0358 uoEon biwt £0 £8 BABE $3; :30 Box 380 fiance 8 mm? 0:0 A855 9502 wEEoE 2230 “EH 555 new oocfiofim we Ba. 05 own—Eu 8 tote :m E mouamcwmm o2 3.554.» «>185 £23m 0553». M353“ EC 053 28330 £2950 05:05—83 COEDéBEH «ESE EEO 320 oooQoQN he #5 25 :05 E 88.020 «mom also of. hog—3 3:02 coonQN we 8:2 9 $528; Bo=m 8 EwES 20> >33th EB .6560 EU 2F uaofiwcs E 5 go: .5: “o cosmozc < 109 .0 2: s 3E5 he 853% m: 38c tam Essa; Afiwzasc $62 se< SE a. oSQNQN 8 $3ch Sam—2 econ on 2 38.020 no imager— mnoono Em can 35 6 “mo an. 92:22 2.3 381— % 88m $05 tapiocmmax BF othBQZ ooomESN we gamma 53830 5.5:. 3:828 .6569 8818—2 2:5 .804 a. 88m £05 @82983‘ 2:. gig/oz gems—R no 6 5 28.2% a... 32:. 2 %8 o :20 as 0 Ex :5 6 83 2% “>32 EEO: Eamon J33. 8853 8 2325 Sea 2:8? 2239mm GEE 53mg 3.25.8 2: Ea: 5;. 833: 3 .8 mac: 2: gags—2V 2:55 :3 €5.32 88»: 8 hon 0:0 ““2325 9.659; 805568 owfiso 5589 EU 05 EB accowm Mafia—tam :0 $2. .38—QED ammo has 23 HE. 5 2E 3.5 :52 $3 sows: .96: 885. «.n 35231 “mafia—own 555 E 332 :oZm mama—020 53¢ E EEn 28620 59: ED 9:5302 goQQ _ mm mmflm 325m 0555‘ $59.2; 95 comma 885. um .82: 92695 £8.83 95 Emma—o #3035956: b6 5 donate". a 038. 000503000 n0.0.0.0300 0. 300 000800.00E 0... @0008. £000.00. 60.0w0 to 0000. 0>00 00.0.0 0:35:03 00 0.03:0 00.303 .00.... M0:.0> b00005 .m> 28.0.00 2E0. 30002080003033 00>00D 000003 .000 08$on .5 0.0.0.000. 0.05 wfiww... 000 0.000000% 0000: 9002.00 .0005 0.00 95> 302v 0302 0.0....0m. 000.03. 0.02 $8.0m? 0w 0 00mg. 00 20 000000w 000.5 ”08.0.5 30.0 8.00.. 00.0 000.0055 08.0.00 00%: 0.0:000 05000 000.002.: 00.3 .000... 0% 008w 0005 080.083. 00... 00.30302 oooQNQv on 0.00.0630. .390. .000 aim—0000.3. .00..00m .0502. 000.002.: wows: 0003. «6on8.» mm 30 05 00 0. 00 8000.000 .000. 05 50.3. $0 0.0.0.000 0000. 000 000.002 0. 0.0..030 EU “000.0...0 .0w0. 00.3.0000 000.0...0 00.0.0502. 0.082-253 0000.0 0.0.0... 5.0.. 88.5.0 3. 0 4.008.020 0000. 0. .003 $080.00 0>0m 0.8.00.0 00000 :00 05 .30. 05 ..0 .080 00.. 0.0.0.0 0.0000 0 .00 0E3 .000“. 0.. 00 30 00.. .20 >00 2%.... 00> ”000500. 0050.. 0000.050 .0.>0 00 0.0 m.00>0..0m. 0>.m:.0xm. 300020.003 .0000 3.000200.— 0 0. 000A. 00 .30. 000 .0038. 30.0. 0302 b.0Q 000.00 000E30m .8007. RENEE» mu :0 :00 >00 >00... 00.0%.: .00.. 03.0.00 0. 00.0. 033 “0000 m0.00N 30.08.). 302. .0802. 00.000003? 0000M. 000x aoonSv mm $.03 0 0. .0w 3.0 $00.05 00.0.00 90.2.3. 000.005 b.0 Eot .0502 0000.“. 000000006 .0053 00000w...000. 0.00% 00:000. 0860:. 5 0.00... 0>0E0._ 0. 00.00 m 00>.m.~ 505002 ”08.0.00 00:0... 0.0 .032 00.0.0.0 .080. 00300 2F 000.05: 0080 800000 8 030. 0. 00000 05 a: 00.0. 000000.60 08.0.00 0.0.0.005 M00500 08.0.00 000...: 000000.. 0000‘. 0.00.. 0.0b0m 00.3 .000. a. 008m 000:. 00.0.0003. 00... 00.30302 00.530 00 28.0.00 95> 302.. 0302 0.0.03. L000.03. 00.5 08680 E. 0000. 0. $000.00. >00 30:0 8 00.03 00.000 00.000005 00.0.0030. 00 0:800 0000.020 .90 28> 302. 0302 0.0.05 0000005 0000 Sam: .0 E 000 00.0.4.0 .080 00:. 0000000.. 95> 302. 0302 0.0....0m. 000.05. 00.5 08m: Qm on 02m 0003 “300 00. .0000. E00. 0050. 0000.050 ..00000 00 m0.0.000 00.0..00 08.0.00 0000.0... 00.0‘. 0.0m 00.0 00.005 £00023 80$ch n» 000.0200 00000.0... $0.30.... 5.3 90:03.2. 0000mm.n.-.mon. 0.00. gm 00000. 000405 8.53% E .8228 0 23 110 8223 290.03 mom acacia}, 2:. E35 was: 259.3% 3 25: 020 05 08 88.25 ,8: S Ewe; ”33:5 82 gob wE>= 3:28: 382 05 28.25 53.5 25» .801— fi 88m $05 3368?. 2:. bags“. :52. oooQNZm 3 38.25 :35 (8 $8 30:“ 8 £33 0v. 2:5 .801. a. 83m $3; n0§00mm< 2? 238302 ooon—R No 3?: DE 022: 28.020 3228 8 62mm 0:3 :30; av 23m 38m caflocmml‘ 2: 0:39:02 ooontm 3 28320 wcifi co 8:: 83 AoEOV gamma mane—zoo EH 8632 :30 coon: Sm co 8 353 23050 ”flozoac b6 he 0:? Bo: 930m .830me m chuw “mom 5250 2: $an .2 5:93:29 cooQQm ow ohm coon Mocoba a oEooEB Laws. o: :83 523 £5.3sz win—:5 {oi—om ”ovoo 26: m :o E choN 63528 w 033 Ill REFERENCES 112 REFERENCES Adams, C.J. (2000). The sexual politics of meat: A feminist-vegetarian critical theory (10th ed.). New York: Continuum. Allen, P. (2004). Together at the table: Sustainability and sustenance in the American agrifood system. University Park, PA: The Pennsylvania State University Press. Published in cooperation with the Rural Sociological Society. Altheide. D. L. (1996). Qualitative media analysis. Thousand Oaks: Sage Publications. Bellows, A. C., Robinson, V., Guthrie, J., Meyer, T., Peric, N., & Hamm, M. W. (2000). Urban livestock agriculture in the state of New Jersey, USA. Urban Agriculture Magazine, 1 (2), 8-9. Bingen, J ., Colasanti, K., Fitzpatrick, M., & Nault, K. (2009). Urban agriculture. Praeger. Blecha, J. L. (2007). Land of eggs and honey: Alternative urban imaginaries. University of Minnesota, Minnesota. Blecha, J. L. (2007). Urban life with livestock: Performing alternative imaginaries through small-scale urban livestock agriculture in the United States. Unpublished Ph.D., University of Minnesota, Minnesota. Clutton-Brock, J. (2007). How domestic animals have shaped the development of human societies. In L. Kalof & B. Resl (Eds), Cultural history of animals in antiquity (Vol. 1). Oxford: Berg. DeLind, L. B. (2002). Place, work, and civic agriculture: common fields for cultivation. Agriculture and Human Values. 19(3), 217-224. Delind, L. B. (2006). Of bodies, place, and culture: Re-Situating local food. Journal of Agricultural & Environmental Ethics, 19(2), 121-146. 113 DeLind, L. B., & Bingen, J. (2008). Place and civic culture: Re-Thinking the context for local agriculture. Journal of A gricultural and Environmental Ethics, 21(2), 127- 151. Felsing, R. D. (2001). How community gardens are treated in the planning documents and zoning ordinances of selected cities. Madison, WI: The Madison Ad-Hoc Committee on Community Gardens, Department of Urban and Regional Planning, University of Wisconsin - Madison. Gamson, W. A. (1995). Constructing social protest. In H. Johnston & B. Klandermans (Eds), Social movements and culture (pp. 85-106). Minneapolis, MN: University of Minnesota Press. Gamson, W. A., & Modigliani, A. (1989). Media discourse and public opinion on nuclear power: A constructionist approach. American Journal of Sociology, 95(1), 1-37. Gaynor, A. (1999). Regulation, resistance and the residential area: The keeping of productive animals in twentieth-century Perth, Western Australia. Urban Policy and Research, 17, 7-16. Gaynor, A. (2007). Animal agendas: Conflict over productive animals in twentieth- century Australian cities. Society & Animals, 15(1), 29—42. Goodman, D. (2003). The quality 'turn' and alternative food practices: reflections and agenda. Journal of Rural Studies, 19(1), 1-7. Haraway, D. J. (1991). Simians, cyborgs, and women: The reinvention of nature. New York: Routledge. Hesse—Beiber. S. N., & Leavy, P. (2006). The practice of qualitative research. Thousand Oaks, CA: Sage Publications. Hinrichs, C. C. (2003). The practice and politics of food system localization. Journal of Rural Studies, 19, 33-45. 114 Holloway, L. (2001). Pets and protein: Placing domestic livestock on hobby-farms in England and Wales. Journal of Rural Studies, 17(3), 293-307. Holloway, L., Kneafsey, M., Cox, R., Venn, L., Dowler, E., & Tuomainen, H. (2007). Beyond the ’alternative' - 'conventional' divide? Thinking differently about food consumption-production relationships. In D. Maye, L. Holloway & M. Kneafsey (Eds), Alternative food geographies: Representation and practice (pp. 77-93). London: Elsevier. Horrigan, L., Lawrence, R. S., & Walker, P. (2002). How sustainable agriculture can address the environmental and human health harms of industrial agriculture. Environmental Health Perspectives, 110(5), 445-456. International, Q. (1999-2009). NVivo (Version 8.0.3320 SP4): QSR International Ltd. Kalof, L., & Fitzgerald, A. (2003). Reading the trophy: Exploring the display of dead animals in hunting magazines. Visual Studies, 18(2). Kaufman, J. (2008). Food in planning: A seven year odyssey from off the planning table to on the planning table. Paper presented at the Symposium on the Role of Food and Agriculture in the Design and Planning of Buildings and Cities. Retrieved from http://www.ryerson.ca/foodsecurity/projects/urbandesign/Jerome%20Kaufman.pd f Kaufman, 1., & Bailkey, M. (2000). Farming inside cities: Entrepreneurial urban agriculture in the United States: Lincoln Institute of Land Policy Working Paper. Kloppenburg, 1., Hendrickson, J. 1., & Stevenson, G. W. (1996). Coming in to the foodshed. Agriculture and Human Values, 13(3), 33-42. Lawson, L. J. (2005). City bountiful: A century of community gardening in America. Berkeley: University of California Press. Lemer. 1. E., & Kalof, L. (1999). The animal text: Messages and meaning in television advertisements. The Sociological Quarterly, 40(4), 565-586. 115 Leyshon, A., & Lee, R. (2003). Introduction: Alternative economic geographies. In A. Leyshon, R. Lee & C. C. Williams (Eds), Alternative economic spaces (pp. 1-27). London: Sage Publications. Lobao, L., & Meyer, K. (2001). The great agricultural transition: Crisis, change, and social consequences of twentieth century US farming. Annual Review of Sociology, 27, 103-124. Lockie, S. (2006). Capturing the sustainability agenda: Organic foods and media discourses on food scares, environment, genetic engineering, and health. Agriculture and Human Values, 23(3), 313-323. Lyson, T. A. (2004). Civic agriculture: reconnecting farm, food and community. Medford, MA: University Press of New England. Mason, 1., & F inelli, M. (2006). Brave New Farm? In P. Singer (Ed), In Defense of Animals: The Second Wave (Reprinted in The Animals Reader: The Essential Classic and Contemporary Writings ed., pp. 104-122). Malden, Oxford: Carlton Blackwell. Matheson, D. (2005). Media discourses: Analysing media texts. New York: Open University Press. Maxwell, 1. A. (2005). Qualitative research design: An interpretive approach (2nd ed.). Thousand Oaks, CA: Sage Publication. ' Maye, D., Kneafsey, M., & Holloway, L. (2007). Introducing alternative food geographies. In D. Maye, L. Holloway & M. Kneafsey (Eds), Alternative food geographies: Representation and practice. London: Elsevier. Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). Thousand Oaks, CA: Sage Publications. Miller, M. & Reichert, B. (2000). Interest group strategies and journalistic norms: New media framing of environmental issues. In S. Allen, B. Adam, and C. Carter. (Eds), Environmental risks and the media. London: Routledge. 116 Mooney, P. H., & Hunt, S. A. (1996). A repertoire of interpretations: Master frames and ideological continuity in US. agrarian mobilization. The Sociological Quarterly, 37(1), 177-197. Mougeot, L. 1. A. (Ed.). (2005). Agropolis: The social, political and environmental dimensions of urban agriculture. Ottawa and London: International Development Research Centre and Earthscan. Nassbaum, M. (2007). The moral status of animals. In L. Kalof & A. Fitzgerland (Eds), The Animals Reader: The essential classic and contemporary writings (pp. 30- 36). Oxford: Berg. Oliver, P. E., & Johnston, H. (2000). What a good idea! Ideologies and frames in social movement research. Mobilization: An International Journal, 4(1), 37-54. Patton, M. Q. (2002). Qualitative research & evaluation methods (3 ed.). Thousand Oaks, CA: Sage Publications. Philo, C. (1995). Animals, geography, and the city: Notes on inclusions and exclusions. Environment and Planning D-Society & Space, 13(6), 655-681. Philo, C., & Wilbert, C. (2000). Animals Spaces, Beastly Places: An introduction. In C. Philo & C. Wilber (Eds), Animal Spaces, Beastly Places: New geographies of human-animal relations. New York: Routledge. Pothukuchi, K., & Kaufman, J. L. (1999). Placing the food system on the urban agenda: The role of municipal institutions in food systems planning. Agriculture and Human Values, 16(2), 213-224. Sanders, C. R., & Arluke, A. (1996). Regarding Animals: Temple University Press. Schiere, H., Rischkowsky, B., Thys, E., Schiere, 1., & Matthys, F. (2006). Livestock keeping in urbanised areas, Does History Repeat Itself? In R. van Veenhuizen (Ed.), Cities farming for the future: Urban agriculture for green and productive cities. Silang, Philippines: RUAF Foundation, IDRC & IIRR. 117 Schiere, H., Tegegne, A., & van Veenhuizen, R. (2000). Livestock in and around cities. Urban Agriculture Magazine, 1(2), 1-4. Serpell, J. (1986). In the Company ofAnimals. New York: Basil Blackwell Inc. Snow, D. A., & Benford, R. D. (1992). Master frames and cycles of protest. In A. D. Morris & C. M. Mueller (Eds), Frontiers of social movement theory (pp. 133- 155). New Haven, CT: Yale University Press. Snow, D. A., Worden, S. K., Rochford, E. B., & Benford, R. D. (1986). Frame alignment processes, micromobilization, and movement participation. American Sociological Review, 51(4), 464-481. Spiegel, M. (1988). The dreaded comparison. Philadelphia: New Society Publishers. Ten Eyck, T. A., & Williment, M. (2003). The national media and things genetic - Coverage in the New York Times (1971—2001) and the Washington Post (1977- 2001). Science Communication, 25(2), 129-152. Ten Eyck, T. A., & Williment, M. (2004). The more things change... : Milk pasteurization, food irradiation, and biotechnology in the New York Times. Social Science Journal, 41(1), 29-41. Tovey, H. (2003). Theorising nature and society in sociology: The invisibility of animals. Sociologia Ruralis, 43(3), 196-215. Tuan, Y.-F. (1984). Dominance and affection: The making of pets. New Haven, CT: Yale University Press. van Veenhuizen, R. (2006). Introduction. In R. van Veenhuizen (Ed.), Cities farming for the future: Urban agriculture for green and productive cities. Silang, Philippines: RUAF Foundation, IDRC & IIRR. 118 Whatmore, S. (1999). Hybrid geographies: Rethinking the "human" in human geography. In D. Massey, J. Allen & P. Sarre (Eds), Human geography today. Cambridge: Polity Press. Whatmore, S. & Thome, L. (1997). Nourishing networks: Alternative geographies of food. In D. Goodman & M. Watts (Eds) Globalising food: Agrarian questions and global restructuring. New York: Routledge. Winter, M. (2003). Embeddedness, the new food economy and defensive localism. Journal of Rural Studies, 19, 23-32. Wodak, R. (1996). Disorders o/‘discourse. New York: Addison Wesley Longman Limited. Wodak, R. (2008). Introduction: Discourse studies - important concepts and terms. In R. Wodak & M. Krzyzanowski (Eds), Qualitative discourse analysis in the social sciences (pp. 1-29). New York: Palgrave Macmillan. Wolch, J. (1998). Zoopolis In J. Wolch & 1. Emel (Eds), Animal geographies: Place. politics, identity in the nature-culture borderlands (pp. 119-138). London: Verso. Wolch, 1. (2002). Anima urbis. Progress in Human Geography, 26(6), 721-742. Wolch, 1., Brownlow, A., & Lassiter, U. (2000). Constructing the animal worlds of inner- city Los Angeles. In C. Phil & C. Wilbert (Eds), Animal spaces, beastly places: New geographies of human-animal relations (pp. 71-97). New York: Routledge. Wolch, 1., & Emel, J. (1995). Bringing the animals back in. Environment and Planning D-Society & Space, 13(6), 632-636. Wolch, 1., & Lassiter, U. (2002). From barnyard to backyard to bed: attitudes toward animals among Latinas in Los Angeles. In G. Hise & W. Deverell (Eds), Land of sunshine: the environmental history of greater Los Angeles. Pittsburgh: University of Pittsburgh Press. 119 Wright, W., Ransom, E., & Tanaka, K. (2005). The "all-American meal": Constructing confidence in the case of BSE. Illness, Crisis & Loss, 13(2), 95-115. 120