{"id":"W4396531670","doi":"10.22215/etd/2023-15913","title":"The Bureaucracy of Intervention: Explaining Canadian Armed Forces Deployment Variations 2014-2018","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Military and Defense Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"DMTC; Canadian Armed Forces; Ministère de la Défense Nationale; Government of Canada","keywords":"Software deployment; Bureaucracy; Intervention (counseling); Political science; Computer security; Public administration; Engineering; Computer science; Psychology; Law; Politics; Software engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000858221,0.0001240208,0.0001818544,0.0001315713,0.001958797,0.00005289753,0.0002536642,0.0001244376,0.0005187615],"category_scores_gemma":[0.0004893277,0.00009380349,0.0001675294,0.0002447364,0.0001086355,0.00009564557,0.0000173516,0.00009184545,0.0001066444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138013,"about_ca_system_score_gemma":0.0004318149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7331954,"about_ca_topic_score_gemma":0.9945242,"domain_scores_codex":[0.9986612,0.0001543957,0.0003596053,0.000185755,0.00033186,0.0003071724],"domain_scores_gemma":[0.9988849,0.0004842216,0.000165908,0.0001680453,0.000187303,0.0001096695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005757417,0.00004708158,0.001218272,0.0001295832,0.0006605691,0.000007033075,0.2221797,0.0000147743,0.000005008709,0.433102,0.3247303,0.01784808],"study_design_scores_gemma":[0.0002391411,0.00008959605,0.01618654,0.0002829053,0.000171028,2.255366e-7,0.6592,0.00003290844,0.00003408932,0.02417295,0.2992342,0.0003564168],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03525201,0.003832422,0.00007751232,0.003387832,0.007861162,0.001044057,0.00007896442,0.0002235064,0.9482425],"genre_scores_gemma":[0.712573,0.003036374,0.0000970356,0.00005851789,0.0004101947,0.0001881195,0.0003596601,0.00002632867,0.2832508],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.677321,"threshold_uncertainty_score":0.9993405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02917622368436161,"score_gpt":0.3388400974572823,"score_spread":0.3096638737729207,"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."}}