{"id":"W4327731754","doi":"10.1177/1470594x231158657","title":"Towards an index of linguistic justice","year":2023,"lang":"en","type":"article","venue":"Politics Philosophy & Economics","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Public economics; Language policy; Economic Justice; Index (typography); Distributive justice; Computer science; Law and economics; Economics; Sociology; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0573878,0.001091985,0.002426923,0.02997319,0.004768725,0.01356725,0.003398974,0.002844703,0.007903305],"category_scores_gemma":[0.107605,0.0005519476,0.001995507,0.01686637,0.01331479,0.01670904,0.009817699,0.004942929,0.001053998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01015262,"about_ca_system_score_gemma":0.007668813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003753179,"about_ca_topic_score_gemma":0.002973527,"domain_scores_codex":[0.9397262,0.03187357,0.005446755,0.003461813,0.01784075,0.001650956],"domain_scores_gemma":[0.90556,0.04534984,0.01036999,0.01108423,0.02514262,0.002493388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003020322,0.0004003723,0.0243015,0.0006421787,0.0002435309,0.0001014814,0.00406149,0.008092929,0.001832636,0.8198586,0.005243482,0.1349197],"study_design_scores_gemma":[0.00009855629,0.0009627702,0.03565639,0.000934814,0.0001461368,0.0003430115,0.008824863,0.03037527,0.003115709,0.8664449,0.05280889,0.0002887117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0956133,0.00225347,0.7287928,0.008314358,0.0005843205,0.001936256,0.002446864,0.0005818496,0.1594768],"genre_scores_gemma":[0.5295564,0.0006695614,0.4616528,0.0005967147,0.0001964884,0.002937365,0.001150435,0.0001587644,0.003081534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0573878,"threshold_uncertainty_score":0.3034993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1336731894160676,"score_gpt":0.4466671659549258,"score_spread":0.3129939765388583,"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."}}