{"id":"W2113079413","doi":"10.21083/nrsc.v0i6.2867","title":"Dib et Djaout : le métier à tisser en deux temps","year":2013,"lang":"fr","type":"article","venue":"Nouvelle Revue Synergies Canada","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art; Political science; Ethnology; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000878114,0.0004171692,0.0002878653,0.0007561777,0.01209805,0.006344808,0.0006188782,0.001661801,0.008072317],"category_scores_gemma":[0.001346682,0.0002773849,0.0001723481,0.00119715,0.01148422,0.002586754,0.004122111,0.003450489,0.00111429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01128915,"about_ca_system_score_gemma":0.004319281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05121664,"about_ca_topic_score_gemma":0.1088149,"domain_scores_codex":[0.9991866,0.0002457986,0.00001570707,0.0001202773,0.0001741723,0.0002575072],"domain_scores_gemma":[0.9996468,0.00007919584,0.00005053383,0.00002334145,0.00005391187,0.0001462243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002697633,0.00004613819,0.003246774,0.0002410342,0.00001700445,0.000928748,0.2740615,0.00006802571,0.001687254,0.6089552,0.08186281,0.02861567],"study_design_scores_gemma":[0.00001934267,0.00003931899,0.005749746,0.0001790897,0.000007499275,0.0003874921,0.05484024,0.0000537933,0.0003876055,0.007863758,0.9304531,0.00001898348],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2205098,0.04255211,0.002124802,0.07557404,0.003741168,0.00003984474,0.0001962623,0.00008747892,0.6551745],"genre_scores_gemma":[0.7570356,0.005481455,0.0007264675,0.006851924,0.0004288321,0.00003902061,0.00008799252,0.00007767216,0.229271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05121664,"threshold_uncertainty_score":0.101837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04476451035842687,"score_gpt":0.3122213060337277,"score_spread":0.2674567956753008,"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."}}