{"id":"W4401632255","doi":"10.22215/etd/2024-16101","title":"Bio-Graphing Secrecy Subjects: The Case of The Quiet Canadian","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Library and Archives Canada","funders":"Social Sciences and Humanities Research Council of Canada; University of Cambridge","keywords":"Secrecy; Biography; Covert; Memoir; Legitimacy; Espionage; Subject (documents); Reputation; Sociology; Law; Political science; History; Library science; Computer science; Politics; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00277596,0.0003084436,0.0002983368,0.001906116,0.07922898,0.01190675,0.001700563,0.004635235,0.008820943],"category_scores_gemma":[0.008776329,0.0003163591,0.0002495887,0.005168459,0.0425918,0.004330211,0.004910995,0.005370448,0.0006356254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05603364,"about_ca_system_score_gemma":0.08109803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9324959,"about_ca_topic_score_gemma":0.964465,"domain_scores_codex":[0.9969389,0.00107866,0.00004015439,0.0002628636,0.0007528235,0.0009265108],"domain_scores_gemma":[0.9953755,0.002111542,0.0004172116,0.0002734458,0.0007666114,0.001055661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001939171,0.00001046242,0.001631422,0.00003647744,0.000004051847,0.002043044,0.5384933,0.000161185,0.0001968008,0.4139254,0.03053964,0.01293885],"study_design_scores_gemma":[0.000006471859,0.000008246543,0.001854097,0.0001502639,0.00001100826,0.0004392212,0.4415278,0.0001494419,0.0001735209,0.02073661,0.5349102,0.00003319281],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2172488,0.002728302,0.002550838,0.08270988,0.0006680953,0.00009408759,0.0001630039,0.00006525429,0.6937718],"genre_scores_gemma":[0.9035745,0.001889508,0.0007053068,0.005879724,0.0001246193,0.00002433914,0.0000461322,0.00006880327,0.08768698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07922898,"threshold_uncertainty_score":0.4065544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184085734174742,"score_gpt":0.3212141779559642,"score_spread":0.30280560453849,"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."}}