{"id":"W2808239428","doi":"","title":"Discourses of Teacher Professionalism: “From Within” and “From Without” or Two Sides of the Same Coin?","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Educational Administration and Policy","topic":"Teacher Education and Leadership Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Socialization; Government (linguistics); Power (physics); Sociology; Pedagogy; Sample (material); Discourse analysis; Power structure; Mathematics education; Public relations; Political science; Psychology; Social science; Linguistics; Ethnography; Anthropology","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":[0.0002861278,0.00007478649,0.00014216,0.0001035313,0.000287547,0.00004231669,0.0001421291,0.00004626891,0.0006427654],"category_scores_gemma":[0.001093173,0.00005021494,0.000033009,0.0001758103,0.001264705,0.0001466704,0.000006663771,0.000110773,0.000001104461],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006005048,"about_ca_system_score_gemma":0.01218526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07656789,"about_ca_topic_score_gemma":0.3962708,"domain_scores_codex":[0.999115,0.0001898316,0.0003115481,0.00008375286,0.000190386,0.0001094684],"domain_scores_gemma":[0.9987133,0.0002632146,0.0004023993,0.00007825991,0.0003006508,0.0002421358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005596954,0.00009913406,0.5610944,0.00001165519,0.00008477078,3.119671e-7,0.2897558,3.505313e-7,0.000132301,0.1421081,0.005811306,0.0008458734],"study_design_scores_gemma":[0.0002814164,0.0001005149,0.8079534,0.0001553277,0.00005096993,0.000008866445,0.158817,0.000001254809,0.0002908329,0.01818491,0.01405756,0.00009798379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7882664,0.0003567804,0.0000011558,0.2092331,0.0004211131,0.00007361738,0.00005761038,9.406417e-7,0.001589271],"genre_scores_gemma":[0.9942209,0.00001053083,0.0002674665,0.0007655845,0.00139813,0.000002304751,0.000005324158,0.000004779202,0.003325026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.319703,"threshold_uncertainty_score":0.9934148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1279435475994303,"score_gpt":0.4491318812140958,"score_spread":0.3211883336146655,"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."}}