{"id":"W2589108753","doi":"","title":"Work-Family Balance: Origins, Practices and Statistical Portrait from Canada and France","year":2017,"lang":"en","type":"article","venue":"E-Journal of international and comparative labour studies","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Appeasement; Work–life balance; Spillover effect; Flexibility (engineering); Balance (ability); Separate spheres; Work (physics); Public policy; Sociology; Demographic economics; Political science; Social psychology; Labour economics; Economics; Psychology; Economic growth; Management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003806288,0.0001249876,0.0003454874,0.00002893199,0.0006352584,0.0002239782,0.000251512,0.00003237202,0.00004560225],"category_scores_gemma":[0.0006192675,0.00009839678,0.00001613366,0.00002898316,0.0007260136,0.0004617274,0.0001026604,0.0002077749,0.00000105444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007934329,"about_ca_system_score_gemma":0.0002268595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.101023,"about_ca_topic_score_gemma":0.2388645,"domain_scores_codex":[0.9988608,0.00008775295,0.0002600334,0.0001725849,0.0004686165,0.0001502641],"domain_scores_gemma":[0.9977983,0.0006716943,0.0008504724,0.00006834594,0.0005022578,0.0001089771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009929121,0.000028885,0.9695281,0.000008298864,0.000408468,0.00005274051,0.008574132,0.000001249687,0.000025036,0.01353058,0.006526568,0.001216695],"study_design_scores_gemma":[0.000402723,0.00003607751,0.8963693,0.0001205519,0.00002078516,0.000005167772,0.01819259,0.000002108513,0.000005925712,0.002502712,0.08224023,0.0001018115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654398,0.02544738,0.0000211952,0.00461965,0.0008600615,0.00005369521,0.00007295215,0.000004537006,0.00348075],"genre_scores_gemma":[0.9756419,0.02145818,0.001055585,0.0001976453,0.0005575985,0.000003029235,0.000001131454,0.000003212962,0.001081702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1378415,"threshold_uncertainty_score":0.9049634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07413192378938678,"score_gpt":0.3796356282102104,"score_spread":0.3055037044208236,"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."}}