{"id":"W7161962223","doi":"10.82308/1742","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":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Government (linguistics); Civil aviation; Racism; Human rights; Aviation; State (computer science); Global governance; Corporate governance","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":[0.00188775,0.0003176883,0.000606312,0.002000348,0.01432124,0.00614922,0.001458188,0.0007221393,0.004734663],"category_scores_gemma":[0.004708907,0.0002111994,0.0004943907,0.004413636,0.007756575,0.001710171,0.004352105,0.001822829,0.000162206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1063055,"about_ca_system_score_gemma":0.1508839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963195,"about_ca_topic_score_gemma":0.9982288,"domain_scores_codex":[0.9978079,0.0002673329,0.00003966371,0.0002109372,0.0006024332,0.001071778],"domain_scores_gemma":[0.9967493,0.0009202668,0.0003836605,0.0001172663,0.00118034,0.0006491827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000114744,0.0001207058,0.5127865,0.0002964897,0.0001093436,0.0006744968,0.3534129,0.001442717,0.00058668,0.07171409,0.01159825,0.04714308],"study_design_scores_gemma":[0.000004983845,0.00002935993,0.4433881,0.0004585326,0.00006898678,0.00007892059,0.5240647,0.001394265,0.0002480616,0.004221158,0.0259722,0.00007072305],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532387,0.001197749,0.0006599185,0.004751599,0.0000403781,0.00005588547,0.0006720584,0.00001011204,0.03937357],"genre_scores_gemma":[0.9958565,0.0006176163,0.0002352497,0.0002486185,0.00000490759,0.00001788219,0.0001636807,0.00000752374,0.002848084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1063055,"threshold_uncertainty_score":0.7713037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122216453416352,"score_gpt":0.30818310363436,"score_spread":0.2869609391001964,"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."}}