{"id":"W2972728150","doi":"10.7202/1063778ar","title":"Departmental Engagement in Doctoral Professional Development: Lessons from Political Science","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Doctoral Education Challenges and Solutions","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Saskatchewan","funders":"","keywords":"Mentorship; Professional development; Politics; Career development; Work (physics); Medical education; Faculty development; Sociology; Position (finance); Graduate students; Political science; Public relations; Engineering ethics; Pedagogy; Medicine; Engineering; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05610812,0.0005605876,0.0009596312,0.003654516,0.03829012,0.02900439,0.004799044,0.006601744,0.008912306],"category_scores_gemma":[0.06593274,0.0008924838,0.000831369,0.006808306,0.02002211,0.01004759,0.02458591,0.01176429,0.001103412],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06844924,"about_ca_system_score_gemma":0.1980239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2644527,"about_ca_topic_score_gemma":0.4743072,"domain_scores_codex":[0.9288354,0.04302189,0.001177924,0.002393977,0.008049857,0.01652093],"domain_scores_gemma":[0.8925714,0.04274323,0.003158469,0.003081493,0.0118319,0.04661343],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001353445,0.0004618332,0.02606729,0.0008658646,0.0000651643,0.001210113,0.5945536,0.0004021767,0.0003577593,0.1356945,0.09172926,0.1484571],"study_design_scores_gemma":[0.00005376174,0.0000749668,0.01968682,0.001231722,0.00002156453,0.0003565616,0.594546,0.0003155798,0.0001994276,0.04173841,0.3417121,0.00006299955],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1869159,0.01616836,0.008990982,0.611709,0.002187894,0.0003791808,0.0002183167,0.0001828072,0.1732475],"genre_scores_gemma":[0.9313012,0.007743693,0.006373964,0.03354177,0.0003892437,0.0003533005,0.000158646,0.0001671836,0.01997103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9438919,"threshold_uncertainty_score":0.5258269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1914164911206062,"score_gpt":0.5237405138733092,"score_spread":0.332324022752703,"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."}}