{"id":"W2197614560","doi":"10.55016/ojs/ajer.v61i1.56031","title":"(Non)Construction of the Teacher: An Inquiry into Ontario’s Equity and Inclusive Education Strategy","year":2015,"lang":"en","type":"article","venue":"Alberta Journal of Educational Research","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Equity (law); Context (archaeology); Educational equity; Public policy; Teacher education; Pedagogy; Education policy; Political science; Policy analysis; Student achievement; Public relations; Psychology; Sociology; Mathematics education; Academic achievement; Public administration; Higher education","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01371531,0.0004105899,0.0004576048,0.001788686,0.02999738,0.01088134,0.002424143,0.004100104,0.00231482],"category_scores_gemma":[0.01659164,0.0005239455,0.000312626,0.002824158,0.04297562,0.005398522,0.004774558,0.004290293,0.0001542235],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2071295,"about_ca_system_score_gemma":0.1383054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9627629,"about_ca_topic_score_gemma":0.974879,"domain_scores_codex":[0.9864696,0.006514972,0.0003143954,0.0009240649,0.003308333,0.002468521],"domain_scores_gemma":[0.9849967,0.0095436,0.001017175,0.0004645551,0.002675478,0.001302461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002417529,0.00001262285,0.002822046,0.0000839785,0.000003841416,0.0005170288,0.8564996,0.0001924754,0.0004123534,0.1301749,0.003941071,0.005315986],"study_design_scores_gemma":[0.00001080156,0.00001577065,0.005852514,0.0002468327,0.00001111801,0.0001648438,0.7454311,0.0005404268,0.0004589695,0.01370541,0.233523,0.00003919157],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.555611,0.003317745,0.0109596,0.1169748,0.0003437518,0.0003340383,0.0003176946,0.0000495888,0.3120918],"genre_scores_gemma":[0.9793961,0.0006142048,0.001232565,0.001654158,0.00002858294,0.00005497404,0.00002738924,0.00002831357,0.01696369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2071295,"threshold_uncertainty_score":0.9196174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4807605602572335,"score_gpt":0.6267502700201021,"score_spread":0.1459897097628686,"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."}}