{"id":"W2627017593","doi":"10.71781/19740","title":"The politics of bureaucratic mobility : historical changes across public service bargains in Canada's provincial governments","year":2016,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Montréal","keywords":"Bureaucracy; Politics; Political science; Public service; Public administration; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001444684,0.0001818795,0.0004519357,0.004411695,0.01108441,0.006613434,0.00129745,0.0009040139,0.005908593],"category_scores_gemma":[0.006560205,0.0003610505,0.0002598808,0.00885717,0.005243329,0.001555124,0.002808979,0.00133206,0.0003675548],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1300238,"about_ca_system_score_gemma":0.09482408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940791,"about_ca_topic_score_gemma":0.9977476,"domain_scores_codex":[0.9971522,0.0002275375,0.00006672623,0.0002615125,0.0009537899,0.001338195],"domain_scores_gemma":[0.9955494,0.0006113392,0.0006615311,0.0001707477,0.001950056,0.00105693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004401338,0.0001031591,0.4510128,0.0003347507,0.0001013794,0.0008909293,0.2701065,0.002942748,0.002162527,0.1291988,0.01709726,0.1256089],"study_design_scores_gemma":[0.00001341563,0.00003095953,0.7580506,0.0001949764,0.0000288637,0.00009799195,0.1196478,0.001029531,0.0004949426,0.002119837,0.1182095,0.00008142566],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429526,0.001755041,0.0006614532,0.00489767,0.00004661516,0.0000580544,0.001323885,0.00003499401,0.04826966],"genre_scores_gemma":[0.9885318,0.0005133066,0.0001895288,0.0001151618,0.000008150752,0.00001164041,0.0002090089,0.00001502814,0.01040641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8699762,"threshold_uncertainty_score":0.9433932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03441189565744124,"score_gpt":0.3301378525282908,"score_spread":0.2957259568708495,"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."}}