{"id":"W2036660495","doi":"10.1177/1523422304266088","title":"National Governance and Promising Practices in Workplace Learning: a Postindustrial Programmatic Framework in Canada","year":2004,"lang":"en","type":"article","venue":"Advances in Developing Human Resources","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada","funders":"","keywords":"Post-industrial society; Public relations; Construct (python library); Context (archaeology); Phenomenon; Corporate governance; Human resources; Political science; Sociology; Engineering ethics; Knowledge management; Management; Engineering; Economics; Epistemology","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":[0.00115964,0.000223408,0.0002964652,0.0002683583,0.0001690881,0.00008335228,0.0002418452,0.0001402243,0.00008040295],"category_scores_gemma":[0.001105,0.000236526,0.00001516319,0.0007002522,0.00008068194,0.0004219883,0.00006636015,0.0007919932,0.000007223865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001349929,"about_ca_system_score_gemma":0.0009089454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0635943,"about_ca_topic_score_gemma":0.6822807,"domain_scores_codex":[0.9976182,0.0002061599,0.0006689979,0.0004686416,0.0005493616,0.0004886312],"domain_scores_gemma":[0.9987667,0.0003963914,0.0006256835,0.0001124722,0.00005079799,0.0000479846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001811004,0.00006062916,0.9416561,0.0001006989,0.00001114149,0.00009200726,0.01868081,0.01378175,0.000005259651,0.006245759,0.00002193374,0.01916277],"study_design_scores_gemma":[0.002323526,0.00006040362,0.9624424,0.002112614,0.0000037408,0.00001928165,0.003679523,0.0001776476,0.00001552686,0.006293889,0.02243332,0.0004381202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927622,0.00255038,0.00003895569,0.000873717,0.0001947916,0.0005031967,7.801296e-7,0.0000285946,0.003047367],"genre_scores_gemma":[0.9960033,0.0001947076,0.0031346,0.0001539266,0.0001268967,0.0001378031,0.00001031565,0.00002224511,0.0002162311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6186864,"threshold_uncertainty_score":0.9645249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04473827730216681,"score_gpt":0.3632388261383345,"score_spread":0.3185005488361677,"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."}}