{"id":"W4385235974","doi":"10.1080/13549839.2023.2238725","title":"Collective urban gardens: growing, learning and fostering social engagement","year":2023,"lang":"en","type":"article","venue":"Local Environment","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Mitacs","keywords":"Grassroots; Transformative learning; Sociology; Collective identity; Ethos; Collective action; Neighbourhood (mathematics); Identity (music); Public relations; Politics; Political science; Aesthetics; Pedagogy","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":[0.0002370365,0.000115738,0.0001229091,0.0000065835,0.0004800806,0.00003487454,0.00006480054,0.0000643505,0.0003363393],"category_scores_gemma":[0.00001628329,0.00004695951,0.00005685523,0.0001165767,0.00008654905,0.00004294719,0.0002675181,0.0001555547,0.00006953446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001872723,"about_ca_system_score_gemma":0.000003829861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002157941,"about_ca_topic_score_gemma":0.00001502516,"domain_scores_codex":[0.9990336,0.0001161831,0.0001191856,0.0002833986,0.0001787344,0.0002688843],"domain_scores_gemma":[0.9997908,0.0000870193,0.00003028735,0.00001966839,0.000005794872,0.00006644164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000195807,0.0004773282,0.06502683,0.00008697576,0.0001981797,0.0001535228,0.01769235,0.0007271313,0.206036,0.0006291471,0.06020329,0.6485735],"study_design_scores_gemma":[0.0002664473,0.0004710217,0.4099989,0.000008106634,0.00002576476,0.000003084889,0.01196173,0.000234451,0.001431962,0.0007801152,0.5744783,0.0003401047],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953892,0.0001408886,0.00001933441,0.001028495,0.00003306962,0.0002151765,0.000003983236,0.0001050498,0.003064838],"genre_scores_gemma":[0.9933125,0.00006373938,0.00000962527,0.0001110764,0.0001503497,0.00003251259,0.00002151861,9.864495e-7,0.006297637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6482334,"threshold_uncertainty_score":0.369244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013672288276862,"score_gpt":0.2007524324920747,"score_spread":0.1806157096093061,"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."}}