{"id":"W7033610658","doi":"","title":"Sensitive Masculinities, emancipation or adaptation ?","year":2021,"lang":"fr","type":"article","venue":"theses.fr (ABES)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emancipation; Context (archaeology); Politics; Power (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002981445,0.0004635893,0.0004627827,0.001068976,0.004251186,0.005562527,0.0009328537,0.001714052,0.00860671],"category_scores_gemma":[0.003907605,0.0002400381,0.0002929145,0.001120668,0.04214225,0.005167501,0.005036517,0.001865656,0.0008271501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002960348,"about_ca_system_score_gemma":0.002305012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009582705,"about_ca_topic_score_gemma":0.009844746,"domain_scores_codex":[0.9962445,0.002053356,0.00006401248,0.0006593303,0.0003792916,0.0005994838],"domain_scores_gemma":[0.998567,0.0004289643,0.0003090592,0.0002968457,0.0001487501,0.0002493934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004864451,0.00005976499,0.008343467,0.0001118818,0.00003581684,0.0006262299,0.138583,0.0002491087,0.0007733468,0.8152035,0.002041486,0.03392381],"study_design_scores_gemma":[0.0000245406,0.000139161,0.03987189,0.0005257084,0.00003535704,0.001037065,0.2097814,0.0003723731,0.001310066,0.435087,0.3117243,0.00009120513],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.45974,0.01075745,0.006884913,0.03829337,0.0005513494,0.00007202801,0.00009912195,0.00005613892,0.4835456],"genre_scores_gemma":[0.9851534,0.001946632,0.0004567408,0.001266763,0.00008266128,0.0000232165,0.00001450074,0.00001964254,0.01103635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009582705,"threshold_uncertainty_score":0.02879226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1208230509449612,"score_gpt":0.2973717282582096,"score_spread":0.1765486773132484,"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."}}