{"id":"W2142204833","doi":"10.1177/0032329204267294","title":"A Labor of Laws: Courts and the Mobilization of French Workers","year":2004,"lang":"en","type":"article","venue":"Politics & Society","topic":"European Political History Analysis","field":"Arts and Humanities","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Labor relations; Representativeness heuristic; Industrial relations; Mobilization; Power (physics); State (computer science); Labor history; Labor union; Political economy; Political science; Position (finance); Law; Sociology; Economics; Labour economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002765866,0.0001906604,0.0001587956,0.002022797,0.0101109,0.009235228,0.0007312322,0.002802559,0.005527149],"category_scores_gemma":[0.005887294,0.0001507785,0.0001736001,0.00156075,0.01468806,0.002762857,0.002135494,0.001153216,0.000434048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01274175,"about_ca_system_score_gemma":0.00610149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08075655,"about_ca_topic_score_gemma":0.07194282,"domain_scores_codex":[0.9965464,0.002008814,0.0000439223,0.0002455869,0.0003508458,0.0008043573],"domain_scores_gemma":[0.997264,0.001405993,0.0005508257,0.0001156511,0.0002958255,0.0003678112],"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":[0.0000607935,0.00008298778,0.0150101,0.00005647581,0.00001349866,0.0008092777,0.1398979,0.0003966743,0.0005005849,0.7828182,0.008172833,0.05218063],"study_design_scores_gemma":[0.00006629703,0.0002116128,0.1033731,0.0006179525,0.00003202468,0.0006904443,0.29093,0.001507044,0.0007339256,0.1430304,0.4587303,0.00007701783],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6688488,0.007002362,0.002126407,0.04363922,0.0001229746,0.00002813028,0.00004934453,0.00003713456,0.2781456],"genre_scores_gemma":[0.9911795,0.0007150497,0.00016356,0.0008793094,0.00006594868,0.000008412218,0.000009707978,0.000005456963,0.006973133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08075655,"threshold_uncertainty_score":0.160573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521434711881906,"score_gpt":0.219987992224673,"score_spread":0.2047736451058539,"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."}}