{"id":"W4231435183","doi":"10.1002/9781119085621.wbefs176","title":"Breadwinner Role","year":2016,"lang":"en","type":"other","venue":"Encyclopedia of Family Studies","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Industrialisation; Division of labour; Agrarian society; Separate spheres; Factory (object-oriented programming); Demographic economics; Sociology; Gender studies; Economic history; Political science; Economics; Geography; Agriculture; 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":[0.001129559,0.0002760415,0.0002360017,0.0007418469,0.001734868,0.003475658,0.0005854914,0.000566678,0.04115754],"category_scores_gemma":[0.002591298,0.0001132328,0.0001261348,0.0006885841,0.002864852,0.002563813,0.002846384,0.001263493,0.003239152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008213835,"about_ca_system_score_gemma":0.0007326594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004723599,"about_ca_topic_score_gemma":0.004966718,"domain_scores_codex":[0.9991523,0.0003587063,0.00002172304,0.0001264186,0.0001540034,0.0001869134],"domain_scores_gemma":[0.9986305,0.0002781335,0.0001642201,0.000109343,0.0001251649,0.0006926951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001705862,0.0002553775,0.03524869,0.0001260137,0.00002447215,0.00131459,0.05559045,0.0001193552,0.001152253,0.7762578,0.01832474,0.1114157],"study_design_scores_gemma":[0.00002547681,0.0001533538,0.04052112,0.0006578287,0.00002092366,0.001469653,0.06524699,0.0002883955,0.0006104617,0.06449025,0.8264871,0.00002838043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3748271,0.007344151,0.001728139,0.007587953,0.0004714076,0.00003419206,0.0002578321,0.00004030831,0.6077088],"genre_scores_gemma":[0.9170113,0.002378504,0.0003121985,0.0004547444,0.00007618794,0.00001025726,0.00008903858,0.0000209573,0.07964682],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04115754,"threshold_uncertainty_score":0.1376857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0365592385572379,"score_gpt":0.2549241211386374,"score_spread":0.2183648825813995,"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."}}