{"id":"W281695869","doi":"10.55016/ojs/ajer.v47i1.54845","title":"Case Studies of Subject-Matter Preparation Reform in United States Preservice Teacher Education","year":2001,"lang":"en","type":"article","venue":"Alberta Journal of Educational Research","topic":"Teacher Education and Leadership Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Maryland Higher Education Commission; National Science Foundation","keywords":"Subject matter; Teacher preparation; Teacher education; Psychology; Mathematics education; Pedagogy; Subject (documents); Higher education; Political science; Curriculum; Library science; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002847469,0.0002042861,0.0002584407,0.001036881,0.01211879,0.002377396,0.001678383,0.004059719,0.004471928],"category_scores_gemma":[0.009677507,0.0003298224,0.0002849977,0.001784238,0.002903038,0.001532565,0.002945283,0.00286451,0.0003728184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007529151,"about_ca_system_score_gemma":0.006103602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08061061,"about_ca_topic_score_gemma":0.2260205,"domain_scores_codex":[0.9969285,0.001669916,0.00007810383,0.0001245057,0.0003456828,0.0008532382],"domain_scores_gemma":[0.9937039,0.003452656,0.0006228199,0.0003849261,0.0006236469,0.001211988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001015214,0.01062817,0.1112546,0.0005586402,0.00008018683,0.04605902,0.4732188,0.01286068,0.005016069,0.1125457,0.03368272,0.1930802],"study_design_scores_gemma":[0.0003453156,0.001777931,0.12381,0.000485588,0.0001035759,0.007618226,0.6352684,0.01076474,0.006374488,0.01088968,0.2024533,0.0001088497],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713552,0.0002822035,0.001078016,0.00330321,0.00002670709,0.0001419919,0.00004853402,0.00003004745,0.02373407],"genre_scores_gemma":[0.9905437,0.0001980389,0.001114019,0.0002377389,0.000008990932,0.00004190123,0.00003772228,0.000007731613,0.007810202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08061061,"threshold_uncertainty_score":0.1602828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2741266860950398,"score_gpt":0.5337438510683669,"score_spread":0.259617164973327,"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."}}