{"id":"W2909097562","doi":"10.7202/1064679ar","title":"A STORY OF DEBT AND BROKEN PROMISES? THE recruitment of guatemalan MIGRANT workers IN QUEBEC","year":2019,"lang":"en","type":"article","venue":"Revue québécoise de droit international","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec; Université du Québec à Montréal; Université de Sherbrooke","funders":"Université du Québec à Montréal","keywords":"Intermediary; Immigration; Demographic economics; Normative; Debt; Business; Work (physics); Labour economics; Migrant workers; Political science; Economic growth; Economics; Finance; Engineering; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002150683,0.0001979194,0.000301085,0.0007777413,0.02216921,0.005631192,0.001866624,0.002788636,0.005858383],"category_scores_gemma":[0.005206035,0.000212153,0.000194374,0.001770561,0.006462984,0.002021513,0.003042326,0.002777766,0.000332785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06470789,"about_ca_system_score_gemma":0.05178646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9888234,"about_ca_topic_score_gemma":0.9934552,"domain_scores_codex":[0.9979231,0.0006933348,0.00002971851,0.0001282823,0.0002190141,0.001006644],"domain_scores_gemma":[0.9979643,0.0004715301,0.0002410707,0.000085181,0.0005129621,0.0007250082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001957452,0.0001856673,0.1257693,0.0002033564,0.0000366582,0.004751168,0.5390165,0.000670358,0.0007753917,0.129092,0.1359356,0.06336825],"study_design_scores_gemma":[0.00003147024,0.00005891691,0.1392352,0.0004972473,0.00002373931,0.0005207753,0.5702201,0.0009883749,0.0002096523,0.004684706,0.2834352,0.00009465781],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7262706,0.004872105,0.0003911473,0.1974948,0.0003451483,0.00007550513,0.0005788729,0.00003714241,0.06993467],"genre_scores_gemma":[0.9621868,0.0019236,0.0001684489,0.01229966,0.00008139132,0.0000473591,0.0001184103,0.00001950339,0.02315486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06470789,"threshold_uncertainty_score":0.4694908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868230708255875,"score_gpt":0.2813352560563652,"score_spread":0.2626529489738065,"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."}}