{"id":"W7034121371","doi":"","title":"Skies of Inequality: Investigating the Interplay Between State Factors in Civil Aviation and Systemic Discrimination in Northern Canada","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Health Canada; Indigenous and Northern Affairs Canada","keywords":"Civil aviation; State (computer science); Aviation; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001271577,0.0002242397,0.0007360812,0.001505103,0.009499141,0.004093249,0.001272578,0.0006861865,0.005613847],"category_scores_gemma":[0.004495251,0.0002838447,0.0004899843,0.004109418,0.003739667,0.001272537,0.003516969,0.001553519,0.0001868285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04548326,"about_ca_system_score_gemma":0.06603531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970232,"about_ca_topic_score_gemma":0.9988794,"domain_scores_codex":[0.9986518,0.0001626546,0.00002899127,0.0001339572,0.0002846774,0.0007379444],"domain_scores_gemma":[0.996693,0.0006162889,0.0003913486,0.0001064032,0.001202958,0.0009898669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001391758,0.000131074,0.9146814,0.00004197632,0.0001050176,0.000117759,0.05225597,0.0007246987,0.0002805041,0.006638053,0.004476372,0.02040808],"study_design_scores_gemma":[0.000005396154,0.0000197007,0.8911485,0.00007540643,0.00003380999,0.00001674812,0.104348,0.0005297315,0.00008379263,0.0006064766,0.003100986,0.00003150761],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919378,0.000214156,0.00007539416,0.001249026,0.00001216831,0.00001258576,0.0004235071,0.000003097179,0.006072326],"genre_scores_gemma":[0.9970079,0.0001962915,0.00007082173,0.00009975955,0.000003592832,0.000008803979,0.000173255,0.000004254648,0.002435349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04548326,"threshold_uncertainty_score":0.3300057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04755342649406844,"score_gpt":0.2848005093672309,"score_spread":0.2372470828731625,"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."}}