{"id":"W2091050177","doi":"10.7202/057559ar","title":"La bureaucratie à l’épreuve du féminin : essai sur les trajectoires familiales de gestionnaires québécoises et ontariennes","year":2005,"lang":"fr","type":"article","venue":"Recherches féministes","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004874017,0.0005368887,0.0005943524,0.00008313576,0.0009467166,0.0004388667,0.0009469416,0.0012315,0.0003992978],"category_scores_gemma":[0.0052331,0.0005309784,0.0003704702,0.0008415271,0.002961709,0.001068651,0.0001335979,0.0009653444,0.0001013667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278409,"about_ca_system_score_gemma":0.002154181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.435575,"about_ca_topic_score_gemma":0.7167709,"domain_scores_codex":[0.9931595,0.003524729,0.0006444317,0.0007729499,0.0007950746,0.00110327],"domain_scores_gemma":[0.9928495,0.005718011,0.0004357728,0.0003421873,0.0002454545,0.0004090725],"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":[0.00006378342,0.0008348922,0.1159019,0.0001368342,0.0001084244,0.00003939883,0.1538653,0.0001365891,0.0003431725,0.5025915,0.01781883,0.2081594],"study_design_scores_gemma":[0.000611604,0.0002921967,0.2683816,0.0007109747,0.0001665311,0.00003041176,0.04139059,0.0004016523,0.0006546954,0.02836162,0.6579738,0.001024345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7238007,0.0197162,0.0002050093,0.1534077,0.0009263207,0.0003417489,0.00008593612,0.0002364981,0.1012798],"genre_scores_gemma":[0.9066684,0.01407087,0.004065175,0.0009062944,0.001761424,0.00007870661,0.000009437843,0.00005233564,0.07238742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.640155,"threshold_uncertainty_score":0.9997517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388527768109868,"score_gpt":0.3505919818477666,"score_spread":0.2117392050367798,"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."}}