{"id":"W4224079179","doi":"10.1177/08912432221089630","title":"Between Women of Color: The New Social Organization of Reproductive Labor","year":2022,"lang":"en","type":"article","venue":"Gender & Society","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Citizenship; Women of color; Gender studies; Agency (philosophy); Welfare state; Sociology; State (computer science); Social citizenship; Political science; Economic growth; Law; Economics; Race (biology); Social science; Politics","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":[0.001065995,0.0001507384,0.0001435075,0.001146636,0.00394661,0.002134589,0.0003579453,0.0002804181,0.002317992],"category_scores_gemma":[0.002089785,0.00007940769,0.0001461771,0.0007865147,0.005103454,0.001545764,0.00304474,0.0005418094,0.0000702987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00178238,"about_ca_system_score_gemma":0.001968292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02611944,"about_ca_topic_score_gemma":0.08125425,"domain_scores_codex":[0.9989048,0.0005454404,0.00001864533,0.00009674829,0.0001381718,0.000296187],"domain_scores_gemma":[0.9991517,0.0002877755,0.000249792,0.0000590497,0.00009463611,0.0001569894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007291966,0.00005599044,0.3365814,0.00005740043,0.00002876506,0.001013799,0.5109017,0.00006549786,0.0009831602,0.07062525,0.001706333,0.07790784],"study_design_scores_gemma":[0.000006837568,0.00009066581,0.2619138,0.0001784697,0.00002848166,0.000786878,0.6861749,0.0001485461,0.0002366516,0.0100266,0.04038709,0.0000209994],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704551,0.0008145719,0.0009941848,0.002333919,0.00005799152,0.00001375272,0.00003340877,0.000005175772,0.02529192],"genre_scores_gemma":[0.9987084,0.000205708,0.0001695082,0.0001981558,0.0000259812,0.000008449474,0.000007700902,0.00000191776,0.0006743785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02611944,"threshold_uncertainty_score":0.05193484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03567953454461792,"score_gpt":0.2852998885761918,"score_spread":0.2496203540315739,"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."}}