{"id":"W4417295597","doi":"10.1177/00420980251398620","title":"Between state–community partnerships and austerity: The everyday networked governance of Montreal’s solidarity greenhouses","year":2025,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Institut national de la recherche scientifique","keywords":"Austerity; Corporate governance; Solidarity; Popularity; Everyday life; Function (biology); Collaborative governance; Power (physics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006185875,0.0001745179,0.000386703,0.000004829935,0.0006468127,0.00003804799,0.0003019174,0.00006347593,0.000005516521],"category_scores_gemma":[0.0002616007,0.00005211707,0.00008416033,0.0003419349,0.0004652717,0.00009000552,0.0003927886,0.0002730848,8.727918e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004459269,"about_ca_system_score_gemma":0.00001058117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563683,"about_ca_topic_score_gemma":0.02344115,"domain_scores_codex":[0.9986493,0.000445276,0.0002812592,0.0002010366,0.0001543255,0.0002687857],"domain_scores_gemma":[0.998249,0.001261066,0.00013164,0.0001343359,0.0001832163,0.00004072874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006137141,0.0001167536,0.8954386,0.000103726,0.0002996211,0.000001595984,0.002351744,0.000001479704,0.000241359,0.000695512,0.05156028,0.04912803],"study_design_scores_gemma":[0.000100731,0.0001019202,0.9608009,0.00003805598,0.00006248704,3.358532e-7,0.003499002,0.00000241271,0.0001594916,0.006132353,0.02899245,0.0001098993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855988,0.008608923,0.000001431994,0.004463247,0.0000625027,0.0002616845,0.00005307441,0.00004719863,0.0009031212],"genre_scores_gemma":[0.9965015,0.0004725466,0.00000572798,0.0001923727,0.0001032411,0.00001977623,0.00000695813,6.040104e-7,0.002697277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06536233,"threshold_uncertainty_score":0.9943785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06060764455910446,"score_gpt":0.2643006699405996,"score_spread":0.2036930253814952,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}