{"id":"W2970956532","doi":"10.54648/ijcl2019011","title":"Enforcing Employment Standards for Temporary Migrant Agricultural Workers in Ontario, Canada: Exposing Underexplored Layers of Vulnerability","year":2019,"lang":"en","type":"article","venue":"International Journal of Comparative Labour Law and Industrial Relations","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Complaint; Vulnerability (computing); Agriculture; Business; Labour law; Christian ministry; Political science; Economic growth; Law; Economics; Geography; Computer security","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":[0.00405382,0.0002440461,0.0003733149,0.001679121,0.01750052,0.004838138,0.002375659,0.001090751,0.001792385],"category_scores_gemma":[0.01082882,0.0004739498,0.0003567333,0.004212233,0.008132586,0.001761461,0.005063348,0.001818429,0.0001315762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1260297,"about_ca_system_score_gemma":0.2135676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968557,"about_ca_topic_score_gemma":0.9987786,"domain_scores_codex":[0.9946066,0.0006607769,0.0002498064,0.0003832317,0.001918635,0.002180955],"domain_scores_gemma":[0.9907349,0.002087162,0.001886758,0.0004839395,0.003514269,0.001292903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009783648,0.00005889667,0.3944827,0.0005438676,0.00005880137,0.002094167,0.5093516,0.0006763596,0.001169197,0.02822711,0.01318567,0.05005384],"study_design_scores_gemma":[0.000009867741,0.00003169186,0.4463173,0.0008080293,0.00003459069,0.0001594816,0.4930819,0.0006054945,0.0003048883,0.002411666,0.05615117,0.00008390476],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471604,0.001660835,0.0008984057,0.01891967,0.00005901435,0.0001780749,0.001075746,0.00002225564,0.03002556],"genre_scores_gemma":[0.9914491,0.001399976,0.0006651282,0.001160479,0.00001341271,0.00005595028,0.0002861704,0.00001247435,0.004957327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1260297,"threshold_uncertainty_score":0.9144138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06174418212294426,"score_gpt":0.3272749069894621,"score_spread":0.2655307248665179,"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."}}