{"id":"W2906402207","doi":"10.2139/ssrn.3124496","title":"Measuring Student Outcomes: The Case for Identifying Indigenous Students in Canada's PISA Sample","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Brain Institute; Simon Fraser University","funders":"","keywords":"Indigenous; Sample (material); Bridging (networking); Mathematics education; Indigenous education; Psychology; Medical education; Political science; Medicine; Computer science; Ecology","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":[0.01405228,0.0006233455,0.0007466872,0.001880835,0.008685769,0.004745008,0.003412583,0.001083234,0.001606337],"category_scores_gemma":[0.04393243,0.000245493,0.0005241944,0.004459567,0.002675503,0.001617478,0.0040148,0.002924349,0.0002411369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0265904,"about_ca_system_score_gemma":0.08775789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9809384,"about_ca_topic_score_gemma":0.9915015,"domain_scores_codex":[0.989839,0.002393776,0.0004633045,0.0006610297,0.002989364,0.003653571],"domain_scores_gemma":[0.9761215,0.004737523,0.001968575,0.001654444,0.01192335,0.003594483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001251871,0.0001841327,0.9206684,0.000205644,0.00009969371,0.0002307019,0.0307533,0.0004653959,0.0004392832,0.003994495,0.005124093,0.03770964],"study_design_scores_gemma":[0.00001772103,0.000132802,0.8927697,0.0006548244,0.0001460996,0.0001620567,0.08600908,0.001437475,0.001211448,0.002369628,0.01502442,0.00006472288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677265,0.0009697135,0.003152017,0.007499778,0.0001484604,0.0005798937,0.001360326,0.00003485679,0.01852844],"genre_scores_gemma":[0.9930821,0.0003995888,0.002943635,0.0009387935,0.00002029901,0.0002599807,0.0003769965,0.00002575155,0.001952844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0265904,"threshold_uncertainty_score":0.1929278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03827385395563455,"score_gpt":0.3559151914246954,"score_spread":0.3176413374690608,"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."}}