{"id":"W1480244035","doi":"","title":"Hard Times, Hard Bargains: The Politics of the Canadian Autoworkers During Fiscal and Political Crises","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Negotiation; Context (archaeology); Political science; Political economy; Public administration; Sociology; Law; Geography","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":[0.002409487,0.0003784192,0.0004277313,0.001813479,0.05944056,0.01452082,0.002218243,0.004025239,0.008181763],"category_scores_gemma":[0.005500472,0.0004922124,0.0003756398,0.003511275,0.01696356,0.002209367,0.004831161,0.004818985,0.0005241827],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2286154,"about_ca_system_score_gemma":0.216309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975494,"about_ca_topic_score_gemma":0.9990587,"domain_scores_codex":[0.9949951,0.0004517251,0.00004585135,0.0003630029,0.001080003,0.003064283],"domain_scores_gemma":[0.9966819,0.0005613447,0.0002125423,0.00007952213,0.0008467626,0.001617872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004062377,0.0001471242,0.04980203,0.0002488823,0.00007672879,0.00263645,0.3894662,0.001782406,0.001730406,0.3071682,0.1808689,0.06566651],"study_design_scores_gemma":[0.00003362492,0.00003752677,0.05028703,0.0002096092,0.00002984422,0.0001657737,0.5040407,0.0006740515,0.000365135,0.007029528,0.43697,0.0001571984],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.618897,0.004817988,0.0005766088,0.07729114,0.0006162048,0.0001045806,0.0005456339,0.00005277011,0.2970981],"genre_scores_gemma":[0.9596832,0.00139037,0.0001998035,0.005367288,0.00005281557,0.00002017512,0.00009112571,0.00003631045,0.0331588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2286154,"threshold_uncertainty_score":0.8946968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008560602609989879,"score_gpt":0.2550614881884449,"score_spread":0.246500885578455,"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."}}