{"id":"W4311681270","doi":"10.22215/etd/2022-15155","title":"Square Peg in a Round Hole? Three Case Studies into Institutional Factors Affecting Public Service Whistleblowing Regimes in the United Kingdom, Canada, and Australia","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Department of the Prime Minister and Cabinet","keywords":"Legitimation; Misconduct; Corporate governance; Political science; Incentive; Legislation; Bureaucracy; Process tracing; Politics; Public administration; Law; Economics; Management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004239942,0.000356202,0.0003745187,0.0006941868,0.001035098,0.000418558,0.0002514503,0.00008122471,0.00009257832],"category_scores_gemma":[0.000238474,0.000277143,0.00005024992,0.00182252,0.00004522779,0.0007572069,0.0001578159,0.0004306896,0.000001802139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003584879,"about_ca_system_score_gemma":0.0001791472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8682935,"about_ca_topic_score_gemma":0.9974147,"domain_scores_codex":[0.99836,0.00003822556,0.0004106411,0.0004128789,0.0004707339,0.0003075329],"domain_scores_gemma":[0.9991148,0.0001593133,0.0002705396,0.0001926153,0.0002515129,0.00001123149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001063599,0.0001728718,0.8727397,0.004456197,0.0004128179,0.001623347,0.01978791,0.009004109,0.00001267569,0.08401433,0.006647099,0.001022582],"study_design_scores_gemma":[0.0008561942,0.00000941866,0.7058502,0.0004697889,0.0001114496,0.00003179804,0.2752042,0.004083627,0.000001293361,0.001454893,0.0111384,0.0007886505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954416,0.0002364329,0.000004157798,0.001274068,0.0005386434,0.0004510467,0.000003759418,0.00004080636,0.002009511],"genre_scores_gemma":[0.9977294,0.000006810149,0.00001936279,0.0006849256,0.0001361636,0.00008591495,0.0005988301,0.0000207895,0.0007178468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2554163,"threshold_uncertainty_score":0.9999681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1138455069830768,"score_gpt":0.3244481252511329,"score_spread":0.210602618268056,"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."}}