{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007312689,0.0001716499,0.0003266272,0.0009208141,0.0211574,0.007496132,0.002647607,0.003108141,0.006243057],"category_scores_gemma":[0.01951788,0.0001986731,0.0002805456,0.001448755,0.01299838,0.00271747,0.005676659,0.003564263,0.0001932522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0676088,"about_ca_system_score_gemma":0.2346303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9534745,"about_ca_topic_score_gemma":0.9712164,"domain_scores_codex":[0.9938391,0.001315381,0.0001561341,0.0003285308,0.001594642,0.00276618],"domain_scores_gemma":[0.9903691,0.002954828,0.0008846141,0.0004286728,0.002260719,0.003101897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001366199,0.0001814261,0.05690257,0.0002359659,0.00002602971,0.001601564,0.2106485,0.001501527,0.000961357,0.562516,0.04019129,0.125097],"study_design_scores_gemma":[0.00004201571,0.0001297526,0.08354496,0.001035355,0.00004540387,0.0004944592,0.478356,0.002921539,0.0007713164,0.04936273,0.3831508,0.0001457017],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6437833,0.002573121,0.003016896,0.1921776,0.0003578856,0.0001480055,0.0001574959,0.00003643207,0.1577493],"genre_scores_gemma":[0.9855592,0.0004540419,0.0007676204,0.003768706,0.00002532641,0.00003088487,0.00002633392,0.000009156677,0.009358565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0676088,"threshold_uncertainty_score":0.4905384,"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."}}