{"id":"W4320727636","doi":"10.1111/imig.13121","title":"The ‘contract’ and its discontents: Can it address protection gaps for migrant agricultural workers in Canada?","year":2023,"lang":"en","type":"article","venue":"International Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Toronto; University of Windsor; Wilfrid Laurier University; Balsillie School of International Affairs; York University; Western University","funders":"Employment and Social Development Canada","keywords":"Negotiation; Commonwealth; Context (archaeology); Vulnerability (computing); Migrant workers; Agriculture; Economic growth; Business; Political science; Public administration; Economics; Law; Geography; Computer security","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":[0.0003270594,0.00006940888,0.00006003667,0.00005513339,0.0003378195,0.0001385272,0.0001305908,0.00003941285,0.00001150315],"category_scores_gemma":[0.0003848585,0.00004968808,0.00002642404,0.0002240997,0.0000264892,0.0002012124,0.00001098749,0.00007493988,0.00000252458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004401442,"about_ca_system_score_gemma":0.0003120961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8336356,"about_ca_topic_score_gemma":0.9997126,"domain_scores_codex":[0.9991205,0.00006789409,0.0001970597,0.0001383116,0.0003035188,0.0001726669],"domain_scores_gemma":[0.999474,0.0001484973,0.00008995966,0.00003937143,0.0002007894,0.00004733293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001062061,0.000246072,0.3003906,0.0001023017,0.0004906405,0.00002759156,0.2061185,0.01210946,0.01623563,0.2040786,0.1689906,0.09014795],"study_design_scores_gemma":[0.001032932,0.00003578533,0.5307907,0.0001224788,0.00001521739,0.000002292574,0.08246592,0.09343854,0.0002395655,0.0007089826,0.2908249,0.0003227235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9180185,0.00005096538,0.00005044576,0.0800905,0.0007311091,0.0006525193,0.0000752148,0.00002629572,0.0003044247],"genre_scores_gemma":[0.9948698,0.0002009131,0.000007714118,0.0001846228,0.0001588689,0.0002437364,0.0001073269,0.000004556675,0.004222518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2304001,"threshold_uncertainty_score":0.2598268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04073496312988837,"score_gpt":0.2839756979078883,"score_spread":0.2432407347779999,"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."}}