{"id":"W4412844555","doi":"10.47974/cjsim-2024-021","title":"Mapping the literature on women’s unpaid work : A bibliometric analysis using VOSviewer","year":2025,"lang":"en","type":"article","venue":"Collnet Journal of Scientometrics and Information Management","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Unpaid work; Sociology; Computer science; Engineering","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007651128,0.0007996819,0.001789212,0.2372932,0.001630051,0.006309331,0.0009620943,0.0006630316,0.006355546],"category_scores_gemma":[0.029598,0.0003546787,0.001841151,0.2180724,0.001057232,0.004325943,0.003935211,0.0005183687,0.000898562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002424041,"about_ca_system_score_gemma":0.005169418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004999874,"about_ca_topic_score_gemma":0.00523096,"domain_scores_codex":[0.9918385,0.001482359,0.001777087,0.000760874,0.003641551,0.0004996543],"domain_scores_gemma":[0.9734417,0.01859094,0.003024267,0.000911097,0.003639268,0.0003927851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004070981,0.0002690961,0.2941416,0.0389518,0.001694645,0.001972948,0.04275755,0.002895499,0.007929807,0.03029884,0.04022073,0.5384604],"study_design_scores_gemma":[0.00009704316,0.0003123001,0.604597,0.006941724,0.002110921,0.00225503,0.06342512,0.007789045,0.00555814,0.01567439,0.2909358,0.0003034978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.798774,0.02968443,0.009977049,0.003098338,0.0002933844,0.002204316,0.09704299,0.001356452,0.05756904],"genre_scores_gemma":[0.8794174,0.0257342,0.03480598,0.0001363989,0.0003649678,0.003291499,0.04977771,0.0002983062,0.006173539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7627068,"threshold_uncertainty_score":0.04046357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03333474448287128,"score_gpt":0.313017271899328,"score_spread":0.2796825274164567,"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."}}