{"id":"W2144330786","doi":"10.3384/rela.2000-7426.rela9023","title":"Interrogating professional power and recognition of specialized knowledge: a class analysis","year":2014,"lang":"en","type":"article","venue":"European Journal for Research on the Education and Learning of Adults","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Office of International Science and Engineering","keywords":"Certification; Class (philosophy); Professional development; Power (physics); Professional learning community; Professional studies; Professional association; Pedagogy; Professional certification (computer technology); Sociology; Psychology; Public relations; Political science; Computer science; Law; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01314593,0.00004694811,0.0001133688,0.0003279707,0.001006261,0.00006748183,0.0001134104,0.00001830098,0.0001548073],"category_scores_gemma":[0.006544739,0.00003259943,0.00005963556,0.0004047327,0.0002115203,0.00006589347,0.00002238412,0.0003639582,0.000008456103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002446587,"about_ca_system_score_gemma":0.0002464922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000093584,"about_ca_topic_score_gemma":0.00007239282,"domain_scores_codex":[0.9939854,0.005251169,0.0002625809,0.00009977158,0.0002613576,0.0001397736],"domain_scores_gemma":[0.9970141,0.001714877,0.0002740687,0.00006701841,0.0008147571,0.0001151761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003162439,0.0003889334,0.005358764,0.0001281147,0.0001526825,1.225257e-7,0.7213728,0.000006984848,0.0002486377,0.05260821,0.008480102,0.2109384],"study_design_scores_gemma":[0.0006992284,0.0006931412,0.03038387,0.001189059,0.0000417813,0.000003606817,0.6666584,0.0001572142,0.0001022478,0.001016023,0.2989405,0.0001149521],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606298,0.00009643127,0.00006955917,0.003611528,0.0003777504,0.000173792,0.000001365331,0.000004105627,0.03503563],"genre_scores_gemma":[0.9942304,0.0000732748,0.0001985872,0.00003395996,0.0005844734,0.000005510354,0.00000308964,0.000007259714,0.004863387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2904604,"threshold_uncertainty_score":0.7835136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1338147134777964,"score_gpt":0.4871534692806594,"score_spread":0.353338755802863,"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."}}