{"id":"W7010915146","doi":"","title":"Lâimplantation des Cultural Studies dans les\\ncurricula francophones de sociologie :\\nÃtude comparÃ©e de deux dÃ©partements quÃ©bÃ©cois","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultural studies; Context (archaeology); Cultural turn; Cultural identity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006652068,0.0006061787,0.0007357065,0.00006778432,0.0008332593,0.00007012134,0.001280472,0.0001711202,0.0000991164],"category_scores_gemma":[0.00003455415,0.0005720435,0.00009228157,0.0001659164,0.0009997728,0.0005581466,0.0007572712,0.0004938373,1.112629e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002152823,"about_ca_system_score_gemma":0.002188898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01065613,"about_ca_topic_score_gemma":0.09167529,"domain_scores_codex":[0.9960331,0.0004002123,0.0005802997,0.0005727706,0.001404242,0.001009432],"domain_scores_gemma":[0.9978896,0.0006879148,0.0006120912,0.0004603942,0.000004446031,0.0003455747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002162047,0.0002910641,0.6102239,0.002675195,0.001750379,0.0005745656,0.02278457,0.001355053,0.02583819,0.1635628,0.06634304,0.104385],"study_design_scores_gemma":[0.001365592,0.0004283251,0.5584,0.002565711,0.0003088153,0.0002279319,0.03996619,0.01043048,0.03715576,0.01020471,0.3365772,0.002369284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5321018,0.03230397,0.04203355,0.007458357,0.004698996,0.001064067,0.0004339007,0.0004363981,0.3794689],"genre_scores_gemma":[0.8808817,0.002441308,0.06189991,0.0007761668,0.0002868956,0.00003885047,0.00001540314,0.00009142076,0.05356838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3487799,"threshold_uncertainty_score":0.9996731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488796860608134,"score_gpt":0.2175708353380288,"score_spread":0.1926828667319475,"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."}}