{"id":"W6906732736","doi":"10.17863/cam.118737","title":"The Politics of Numbers: Statistical Fairness, Market Justice and the ‘inclusion’ of First Nations people in Australian Universities","year":2024,"lang":"en","type":"dissertation","venue":"Apollo (University of Cambridge)","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Politics; Economic Justice; Indigenous education; Neoliberalism (international relations); Inclusion (mineral); Social justice","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.08869171,0.0002308789,0.0009641649,0.002056029,0.02134654,0.01813351,0.002501543,0.005879371,0.004941079],"category_scores_gemma":[0.1500272,0.0005551431,0.0005310931,0.002817117,0.07846089,0.01539524,0.0153866,0.00954609,0.0003515513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01549842,"about_ca_system_score_gemma":0.01684976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05552289,"about_ca_topic_score_gemma":0.04296989,"domain_scores_codex":[0.9003135,0.0749274,0.00208062,0.004453667,0.01281795,0.005406872],"domain_scores_gemma":[0.8913422,0.07999422,0.01098718,0.005147355,0.006962724,0.005566286],"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":[0.00006983797,0.00005064498,0.008459183,0.0001454168,0.00002506764,0.0002879536,0.3047912,0.0002756005,0.0002248021,0.6554255,0.005294079,0.02495083],"study_design_scores_gemma":[0.00004072455,0.0001568421,0.03212353,0.001177913,0.0000450615,0.0003278226,0.205948,0.001963209,0.0007917593,0.6124883,0.1447509,0.0001859036],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4216404,0.007069549,0.01221053,0.4058245,0.001011423,0.0001097133,0.00006108419,0.00003393964,0.1520389],"genre_scores_gemma":[0.9851344,0.0005687565,0.0009884699,0.008533289,0.0002062455,0.00004752544,0.000005744655,0.00001771866,0.004497971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9786535,"threshold_uncertainty_score":0.4690522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006593395954142454,"score_gpt":0.2643716097211708,"score_spread":0.2577782137670284,"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."}}