{"id":"W4406405331","doi":"10.1080/0023656x.2025.2453038","title":"Flying high on stipends: a historical analysis of flight attendant union struggles in (neoliberal) Canada","year":2025,"lang":"en","type":"article","venue":"Labor History","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Saint Mary's University","funders":"","keywords":"Political science; Neoliberalism (international relations); Political economy; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001949769,0.0003875182,0.00052658,0.005638598,0.02004899,0.008354124,0.002012864,0.001803113,0.0056129],"category_scores_gemma":[0.003700297,0.0004044289,0.0002621946,0.016681,0.0104991,0.002582163,0.002754281,0.00301477,0.0003676092],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1591688,"about_ca_system_score_gemma":0.1289307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900517,"about_ca_topic_score_gemma":0.9956311,"domain_scores_codex":[0.9970775,0.000305603,0.00007997671,0.0003134421,0.0009710145,0.001252524],"domain_scores_gemma":[0.99708,0.0007008829,0.0003115163,0.00006409464,0.001165861,0.0006775411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001313244,0.00006854639,0.02998751,0.001839861,0.00005926044,0.002684406,0.6828105,0.0004701719,0.0006262806,0.1186865,0.04976767,0.1128679],"study_design_scores_gemma":[0.000003626911,0.00002492589,0.08380632,0.002149092,0.00002857342,0.0004209041,0.3400564,0.0001469723,0.0002455173,0.001394869,0.5716394,0.00008350796],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5443927,0.2021336,0.001003286,0.03457938,0.00123055,0.0001429239,0.003692996,0.00006003368,0.2127645],"genre_scores_gemma":[0.9079753,0.07354301,0.0003568279,0.00219502,0.0001501525,0.00003065055,0.0007896125,0.00006627727,0.01489301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1591688,"threshold_uncertainty_score":0.975245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013834061413779,"score_gpt":0.2446574206777184,"score_spread":0.2345190800635806,"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."}}