{"id":"W2145452432","doi":"10.7202/1011665ar","title":"Professional Knowledge “From the Field”: Enacting professional learning in the contexts of practice","year":2012,"lang":"en","type":"article","venue":"McGill Journal of Education / Revue des sciences de l éducation de McGill","topic":"Teacher Education and Leadership Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Disconnection; Professional learning community; Professional development; Professional studies; Situated; Context (archaeology); Pedagogy; Field (mathematics); Sociology; Psychology; Engineering ethics; Political science; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02256762,0.0005752271,0.0005727755,0.002110136,0.01651081,0.01374913,0.002807116,0.005264859,0.002604944],"category_scores_gemma":[0.03849792,0.0008453892,0.0006071265,0.001481091,0.04895511,0.01580232,0.01614906,0.004967178,0.0004413356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005861286,"about_ca_system_score_gemma":0.00983148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004009194,"about_ca_topic_score_gemma":0.005012483,"domain_scores_codex":[0.9488428,0.04374518,0.000688168,0.00198504,0.002634052,0.002104865],"domain_scores_gemma":[0.9452418,0.04214771,0.003158228,0.004794804,0.001573867,0.003083642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003064602,0.0000885144,0.002622954,0.0001061837,0.000007186311,0.001198152,0.9127793,0.0003945811,0.0008205406,0.06346705,0.0004891366,0.01799569],"study_design_scores_gemma":[0.00004018794,0.0001502886,0.002814089,0.0005250428,0.00002262752,0.001798821,0.7994539,0.001901226,0.001542052,0.1054599,0.08623873,0.00005309697],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7124366,0.001303166,0.0630093,0.02534828,0.0002088278,0.0003355466,0.00002999382,0.0001719647,0.1971563],"genre_scores_gemma":[0.9925244,0.0001980277,0.005063143,0.0003065008,0.0000178493,0.00005932089,0.000007344729,0.00001836441,0.00180495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02256762,"threshold_uncertainty_score":0.1193504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4934276780785625,"score_gpt":0.5415291041940424,"score_spread":0.04810142611547991,"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."}}