{"id":"W2624459253","doi":"10.1177/0143831x17707822","title":"Migrant workers and fissured workforces: CS Wind and the dilemmas of organizing intra-company transfers in Canada","year":2017,"lang":"en","type":"article","venue":"Economic and Industrial Democracy","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Expansive; Migrant workers; Face (sociological concept); Business; Farm workers; Raising (metalworking); Labour economics; Public relations; Political science; Economic growth; Agriculture; Sociology; Economics; Engineering; Geography","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":[0.0005420689,0.00009116247,0.0002477158,0.00002631294,0.0007364992,0.0001429482,0.0001774903,0.0000789215,0.00006212034],"category_scores_gemma":[0.0001162541,0.00006853586,0.00001757778,0.00003583736,0.0005161774,0.0002248551,0.00003527086,0.0001558638,1.193026e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009346366,"about_ca_system_score_gemma":0.0004823726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9233317,"about_ca_topic_score_gemma":0.9029029,"domain_scores_codex":[0.9992265,0.00008921968,0.0002541216,0.0001605925,0.00006559875,0.0002039413],"domain_scores_gemma":[0.9994251,0.000205478,0.0001297247,0.0001310814,0.000009872997,0.00009873639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002497919,0.00001434453,0.9105421,0.000005368702,0.000108555,0.000004311321,0.01483169,0.00003873379,0.00001856434,0.02018699,0.003514594,0.0504849],"study_design_scores_gemma":[0.00946872,0.0000477982,0.8798007,0.0001539125,0.00008493548,0.000001409932,0.02471116,0.0002676563,0.00007441509,0.003234513,0.08179611,0.0003586006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869725,0.0001421767,0.00000123366,0.01078718,0.0003337576,0.0002573913,0.00002205842,0.000003016733,0.001480685],"genre_scores_gemma":[0.9991204,0.0003469818,0.000006481886,0.000164325,0.0001741325,0.000001801418,0.000001218475,0.000005675632,0.0001789719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07828152,"threshold_uncertainty_score":0.5664631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711778814815054,"score_gpt":0.2435663186688009,"score_spread":0.2164485305206503,"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."}}