{"id":"W1489703805","doi":"10.32920/25105847","title":"‘Agents of Aggressive Order’: Letters, Hands, and the Grasping Power of Teeth in the Early Canadian Torture Narrative","year":2024,"lang":"en","type":"article","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Torture; Narrative; Order (exchange); Power (physics); Computer security; Law; Law and economics; Psychology; Political science; Computer science; Sociology; Business; Art; Literature; Human rights; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002283497,0.000553006,0.000396396,0.002552791,0.03685422,0.01448217,0.001671911,0.002646388,0.005915744],"category_scores_gemma":[0.005544393,0.0004421886,0.0002194088,0.002176369,0.05360043,0.004226515,0.004498621,0.004663237,0.0003537321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09236851,"about_ca_system_score_gemma":0.05143182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9674769,"about_ca_topic_score_gemma":0.9861494,"domain_scores_codex":[0.9967925,0.0008435377,0.00005876595,0.0002639468,0.0009511291,0.001090099],"domain_scores_gemma":[0.9970299,0.001290605,0.000232975,0.0001338251,0.0006556479,0.0006570313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002026196,0.00000849653,0.001098298,0.00003212926,0.000003419759,0.0005003391,0.8935512,0.00006688503,0.0003075089,0.09461974,0.002958118,0.006833664],"study_design_scores_gemma":[0.000006961582,0.00001694303,0.005910528,0.0001965965,0.00002056944,0.0004263809,0.7221094,0.000178587,0.0005544467,0.007671508,0.2628338,0.00007419514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5605299,0.005252743,0.002031675,0.02448863,0.0002845045,0.00004504086,0.0001479226,0.00008198722,0.4071376],"genre_scores_gemma":[0.9791219,0.0007191948,0.0003272066,0.000612944,0.00001947661,0.000007221708,0.00001454552,0.00002458582,0.01915292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09236851,"threshold_uncertainty_score":0.6701835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007575104103586506,"score_gpt":0.2362582713651857,"score_spread":0.2286831672615992,"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."}}