{"id":"W4413392070","doi":"10.17118/11143/23158","title":"Repenser le pluralisme : une analyse des biais médiatiques dans les entretiens politiques de la droite radicale en France","year":2025,"lang":"fr","type":"article","venue":"Omilia","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Philosophy","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0009118316,0.0003524627,0.0004447973,0.0001432841,0.0008109832,0.0002350783,0.0004852017,0.0005392299,0.0003748521],"category_scores_gemma":[0.00105399,0.0003584109,0.0002872882,0.0006465432,0.003914163,0.0004643851,0.00009661703,0.0003812698,0.00004329681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001921828,"about_ca_system_score_gemma":0.001733494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3397861,"about_ca_topic_score_gemma":0.05608015,"domain_scores_codex":[0.9956191,0.001949326,0.0005975434,0.000551983,0.0003584319,0.0009235995],"domain_scores_gemma":[0.9979629,0.0007517214,0.0001900631,0.0004214167,0.0003416449,0.0003322666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001489433,0.0002233121,0.2721741,0.0001443239,0.000204324,0.00002908446,0.3485502,0.0001247725,0.002374459,0.3455926,0.0280711,0.002496784],"study_design_scores_gemma":[0.0005651225,0.00003422358,0.4708749,0.0003258013,0.000201926,0.000007247502,0.05410901,0.001197837,0.01166005,0.01252627,0.4479586,0.0005390027],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9183694,0.004539771,0.0006750921,0.04173591,0.0003933627,0.0003146696,0.0001450112,0.0001885613,0.03363829],"genre_scores_gemma":[0.8118413,0.002909027,0.002742323,0.003163313,0.0004407488,0.00002650089,0.00003775589,0.00002844393,0.1788106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4198875,"threshold_uncertainty_score":0.9998868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04783789553274885,"score_gpt":0.3967911885427631,"score_spread":0.3489532930100143,"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."}}