{"id":"W615758440","doi":"10.71781/9330","title":"Écriture migrante et cinéma accentué au Québec : l’exil dans l’œuvre de Marilú Mallet","year":2010,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mallet; Art; Humanities; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007501639,0.0003484004,0.0002495169,0.0009571115,0.01238927,0.004322048,0.0007940934,0.0008901678,0.01538255],"category_scores_gemma":[0.001191356,0.0001937822,0.0001653518,0.001443223,0.004059842,0.001597197,0.002071912,0.001683214,0.0007127458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02930253,"about_ca_system_score_gemma":0.01911224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9538379,"about_ca_topic_score_gemma":0.98627,"domain_scores_codex":[0.9995309,0.0001404444,0.000009809934,0.00006072783,0.00009636384,0.0001618113],"domain_scores_gemma":[0.9989966,0.0001909021,0.00007649891,0.00003276031,0.0003689057,0.0003343789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008710348,0.00004835027,0.02038043,0.0003380742,0.00001872925,0.001799439,0.8554757,0.0001138897,0.002930951,0.02619865,0.04208442,0.05052428],"study_design_scores_gemma":[0.000005735562,0.00004206675,0.06418566,0.0006325313,0.00002694206,0.0005413109,0.475235,0.0002316179,0.0004567611,0.0005591745,0.4580337,0.00004959753],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7411774,0.01343235,0.001300709,0.03091514,0.0007251796,0.00008331342,0.000457827,0.00008616917,0.2118218],"genre_scores_gemma":[0.8833145,0.004386651,0.0004854691,0.001895389,0.00009852504,0.00004159256,0.000129446,0.0000528572,0.1095954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04616213,"threshold_uncertainty_score":0.2126057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764761415665491,"score_gpt":0.2907890179095525,"score_spread":0.2731414037528976,"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."}}