{"id":"W2913962620","doi":"10.22230/ijepl.2019v14n3a858","title":"Measures of Socio-Economic Status in Educational Research: The Canadian Context","year":2019,"lang":"en","type":"article","venue":"International Journal of Education Policy and Leadership","topic":"School Choice and Performance","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Socioeconomic status; Measure (data warehouse); Neighbourhood (mathematics); Context (archaeology); Literacy; Test (biology); Psychology; Multilevel model; Sociology; Geography; Computer science; Mathematics; Pedagogy; Statistics; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001770075,0.00004254892,0.00007722731,0.0005697655,0.0001376619,0.00008893082,0.0003428793,0.00005531272,0.0005334757],"category_scores_gemma":[0.001079585,0.00003519979,0.00003607684,0.0001446299,0.0002646816,0.0003335247,0.000008215011,0.0002674376,0.00004313796],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008152,"about_ca_system_score_gemma":0.01311735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3855163,"about_ca_topic_score_gemma":0.5384436,"domain_scores_codex":[0.9988428,0.0002330536,0.0002504783,0.00006340498,0.000408154,0.0002021064],"domain_scores_gemma":[0.9984256,0.0006739093,0.0001666562,0.0000608415,0.0005365632,0.0001364354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006251186,0.00007117853,0.6248433,0.0000107969,0.00004977236,2.484002e-7,0.07510341,0.00004569746,0.000040143,0.2639247,0.01869038,0.01715794],"study_design_scores_gemma":[0.0003401952,0.00003711805,0.448739,0.0001174341,0.000003693325,0.000008528794,0.1187067,0.000005577948,0.00004290045,0.01365276,0.418274,0.00007201397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7840211,0.001117087,3.260665e-7,0.1864579,0.001243874,0.00008963251,0.000006234054,6.970471e-7,0.02706311],"genre_scores_gemma":[0.9927711,0.0003043089,0.00001439383,0.001606569,0.002117831,0.000003266496,0.000002244212,0.000003345456,0.003176876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3995837,"threshold_uncertainty_score":0.9924774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.37956291346263,"score_gpt":0.4595305734399703,"score_spread":0.07996765997734029,"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."}}