{"id":"W4281747373","doi":"10.1111/gwao.12870","title":"“The workload is staggering”: Changing working conditions of stay‐at‐home mothers under COVID‐19 lockdowns","year":2022,"lang":"en","type":"article","venue":"Gender Work and Organization","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Mitacs","keywords":"Autonomy; Conceptualization; Inequality; Workload; Work (physics); Qualitative research; Sociology; Pandemic; Psychology; Coronavirus disease 2019 (COVID-19); Political science; Economics; Medicine; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006237531,0.0001127428,0.0001275716,0.0001173068,0.003447283,0.00007890419,0.0002190508,0.00006306069,0.00152828],"category_scores_gemma":[0.00008447656,0.0001120447,0.0000287612,0.001772324,0.0002231361,0.00007812341,0.0002066007,0.0001406943,0.000007826094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004201108,"about_ca_system_score_gemma":0.0001681721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003442643,"about_ca_topic_score_gemma":0.0001526514,"domain_scores_codex":[0.9985666,0.000199974,0.0001956417,0.0002455901,0.0004181814,0.0003740078],"domain_scores_gemma":[0.9992559,0.0001997916,0.0001602298,0.0001852704,0.0000744149,0.0001244256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003250449,0.00006622198,0.7217547,0.00002533321,0.0001306182,0.000002957969,0.2470578,0.003814443,0.0001673714,0.01705228,0.007874843,0.002020849],"study_design_scores_gemma":[0.001171351,0.00005824085,0.2034658,0.00006528386,0.0001090297,0.000007416191,0.6249354,0.00003543987,0.0002055213,0.01566959,0.1534433,0.0008336361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789705,0.004617998,0.004362435,0.006674344,0.0008907437,0.0004942851,0.00003059889,0.0002547618,0.003704321],"genre_scores_gemma":[0.9951699,0.001277323,0.00005869665,0.0006091695,0.0001285428,0.00001710248,0.00002114517,0.00003083744,0.002687326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5182889,"threshold_uncertainty_score":0.9993845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03395570478995941,"score_gpt":0.274210810003397,"score_spread":0.2402551052134376,"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."}}