{"id":"W2146053778","doi":"10.3280/mm2015-001006","title":"The promise of utilizing civil society actors to achieve citizenship for migrant farm workers in Canada","year":2015,"lang":"en","type":"article","venue":"MONDI MIGRANTI","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Civil society; Migrant workers; Political science; Farm workers; Sociology; Political economy; Law; Economic growth; Geography; Economics; Agriculture; Archaeology; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002854693,0.0002811337,0.0002013289,0.0007822947,0.03249374,0.008324374,0.001426438,0.002185288,0.004592194],"category_scores_gemma":[0.003982476,0.0001635327,0.000301085,0.0009887452,0.01123335,0.001937338,0.005667889,0.002861926,0.0002556583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06669322,"about_ca_system_score_gemma":0.1693425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9749724,"about_ca_topic_score_gemma":0.9928024,"domain_scores_codex":[0.996246,0.0009868894,0.00004337322,0.000160228,0.000421729,0.002141727],"domain_scores_gemma":[0.9968001,0.00073166,0.0001878725,0.0001131247,0.0006545705,0.001512672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008398406,0.0002591244,0.03715833,0.0003269875,0.00002627425,0.003956355,0.4555483,0.0009254918,0.001934098,0.3228177,0.05389227,0.1230711],"study_design_scores_gemma":[0.00003256879,0.00006483833,0.02612643,0.0003584342,0.00003522289,0.0002990954,0.6158062,0.0005581178,0.0007487744,0.009731173,0.3461908,0.00004842011],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5297123,0.002700844,0.001583978,0.09405252,0.0002920486,0.0002995799,0.00006828383,0.00005298334,0.3712375],"genre_scores_gemma":[0.9662946,0.001196339,0.001081783,0.004864771,0.00001639945,0.00004154363,0.00002337953,0.000013915,0.0264674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06669322,"threshold_uncertainty_score":0.4838954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09556921363700228,"score_gpt":0.3653961157354468,"score_spread":0.2698269020984446,"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."}}