{"id":"W4394598537","doi":"10.2139/ssrn.4786066","title":"The Gender Division of Work Across Countries","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Division (mathematics); Work (physics); Division of labour; Psychology; Sociology; Political science; Engineering; Mathematics; Arithmetic; Mechanical engineering; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001871961,0.0002006279,0.0003656306,0.003419456,0.002282402,0.003123757,0.0003792282,0.0004961762,0.007567333],"category_scores_gemma":[0.005351263,0.0002057049,0.0002803654,0.00482831,0.003415956,0.001865746,0.002762049,0.0005081422,0.0004418224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340221,"about_ca_system_score_gemma":0.001453136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01487894,"about_ca_topic_score_gemma":0.02519869,"domain_scores_codex":[0.9969941,0.001260485,0.00009267798,0.0002550973,0.0003526075,0.001044949],"domain_scores_gemma":[0.9965006,0.001571144,0.0007566814,0.0001889663,0.000345858,0.0006367547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009778393,0.0001637954,0.6394465,0.0003337474,0.0002692394,0.0007321699,0.153812,0.0007204702,0.001454752,0.1053694,0.004982379,0.09173763],"study_design_scores_gemma":[0.00003150526,0.0001673256,0.8272643,0.0003746389,0.00004349136,0.0001824777,0.1473437,0.0001425613,0.0001631263,0.009865705,0.01439663,0.0000245267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660469,0.00298356,0.0002568079,0.0009958112,0.00005317056,0.00001122396,0.0002631671,0.000003619489,0.0293857],"genre_scores_gemma":[0.998817,0.0003693112,0.00002541888,0.00004347184,0.000007966258,0.000005347879,0.00003855838,0.00000217516,0.000690777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01487894,"threshold_uncertainty_score":0.02958465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298961860112459,"score_gpt":0.3027791001905575,"score_spread":0.2897894815894329,"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."}}