{"id":"W1797632715","doi":"","title":"Ethnonationalisme et mondialisation : interdépendances et particularités historiques","year":2008,"lang":"fr","type":"article","venue":"Commposite","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008693103,0.000290464,0.0002977416,0.0000998125,0.0007251406,0.0001483725,0.0003614984,0.0002921389,0.0005297415],"category_scores_gemma":[0.0002823499,0.0003059321,0.0001914362,0.0002665351,0.001391629,0.001297418,0.00009877633,0.000381598,0.0002354676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843642,"about_ca_system_score_gemma":0.0006892809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01648407,"about_ca_topic_score_gemma":0.01311776,"domain_scores_codex":[0.9963916,0.001451948,0.0005421701,0.0004009106,0.000722495,0.0004908913],"domain_scores_gemma":[0.9982783,0.0003673399,0.0002777424,0.0003143095,0.0005245492,0.0002377315],"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":[0.00001665146,0.0002758774,0.01716748,0.0000463213,0.0001061088,0.00002769468,0.4315487,0.0002725492,0.0007255381,0.4283773,0.120656,0.0007797778],"study_design_scores_gemma":[0.0003533949,0.00005127062,0.04173709,0.00008899039,0.0000575478,0.00002708694,0.002768114,0.0007052528,0.000915778,0.001368807,0.9515136,0.0004130113],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6973957,0.01325097,0.001606562,0.2549392,0.005356407,0.000638785,0.0001561129,0.0002675079,0.02638874],"genre_scores_gemma":[0.8895865,0.002274792,0.002084455,0.02321739,0.0008559598,0.00004252184,0.0003003478,0.00003554203,0.08160247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8308577,"threshold_uncertainty_score":0.9999393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2668159673744594,"score_gpt":0.4484341317547094,"score_spread":0.18161816438025,"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."}}