{"id":"W7148338715","doi":"10.7202/1124101ar","title":"ONU Femmes face au <i>gender backlash</i>","year":2025,"lang":"fr","type":"article","venue":"Études internationales","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Normative; Context (archaeology); Face (sociological concept); Face value","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003359393,0.0005537503,0.0004162067,0.0009000393,0.008117818,0.003886684,0.0006667029,0.002472166,0.01698387],"category_scores_gemma":[0.00574025,0.0002850232,0.00033241,0.0006921293,0.01029306,0.003001435,0.005651094,0.003432058,0.002431618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002520738,"about_ca_system_score_gemma":0.002274973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02092034,"about_ca_topic_score_gemma":0.02474213,"domain_scores_codex":[0.9964587,0.001698554,0.00007377757,0.0003669017,0.0004814468,0.000920576],"domain_scores_gemma":[0.9981428,0.0006764242,0.0004348413,0.0001861574,0.000265439,0.0002942177],"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":[0.0001705801,0.0000537102,0.01632063,0.0002196808,0.00004043312,0.00328317,0.4486252,0.0001057183,0.003501431,0.3927488,0.05157921,0.08335148],"study_design_scores_gemma":[0.00001769887,0.0001099025,0.01556642,0.0007360063,0.00002694112,0.003298729,0.3158539,0.0001716403,0.001164398,0.03114354,0.6318355,0.00007523049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4331076,0.006572401,0.01195012,0.07798561,0.003245517,0.0001365087,0.0004416423,0.0002309655,0.4663296],"genre_scores_gemma":[0.8966082,0.002033189,0.00229637,0.01236816,0.00038188,0.0001700663,0.0001020354,0.0001057164,0.08593448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02092034,"threshold_uncertainty_score":0.0568167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08666341877420493,"score_gpt":0.3795846041218204,"score_spread":0.2929211853476155,"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."}}