{"id":"W7156183403","doi":"10.7202/1124079ar","title":"Monsieur Lazhar ou le « bon immigrant » algérien qui récitait Balzac","year":2024,"lang":"en","type":"article","venue":"Studies in Canadian Literature","topic":"Literature and Culture Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Immigration; Race (biology); Colonialism; Ethnic group","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006734004,0.000577514,0.0002818679,0.0006898771,0.004972259,0.002096778,0.0005722978,0.001178437,0.01679224],"category_scores_gemma":[0.0009947512,0.0001448955,0.0002203858,0.001211986,0.001852986,0.001275253,0.001141181,0.001496924,0.002427855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004255448,"about_ca_system_score_gemma":0.005600838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4113538,"about_ca_topic_score_gemma":0.5058622,"domain_scores_codex":[0.9994456,0.0001549484,0.00001703476,0.00005012489,0.0001485146,0.000183687],"domain_scores_gemma":[0.9996526,0.00005792876,0.00005030289,0.00001386749,0.0001639848,0.00006127489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004058492,0.00007513605,0.01488331,0.001559792,0.00007089823,0.002208714,0.06386136,0.0001406403,0.001994318,0.1294544,0.5464138,0.2389317],"study_design_scores_gemma":[0.00001073103,0.00001800818,0.01391721,0.0003033254,0.00001365311,0.0004363102,0.01774017,0.00003118934,0.0004145706,0.001134131,0.9659582,0.00002255376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1276689,0.2719191,0.001121705,0.1384281,0.02713734,0.00006925299,0.001254986,0.0001759271,0.4322247],"genre_scores_gemma":[0.4745564,0.06909342,0.00139289,0.01744433,0.003237894,0.0000574926,0.0003905346,0.0001498613,0.4336772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5886462,"threshold_uncertainty_score":0.8179188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207225769148211,"score_gpt":0.2605350339694563,"score_spread":0.2384627762779742,"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."}}