{"id":"W7132994138","doi":"","title":"From mother, doctor, lawyer to ... glorified babysitter? The gendered nature of Ontario&apos;s welfare work reforms","year":2004,"lang":"","type":"dissertation","venue":"TSpace","topic":"Social Work Education and Practice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feminization (sociology); Welfare; Context (archaeology); Welfare reform; Work (physics); Front line; Ideology; Salient","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":[],"consensus_categories":[],"category_scores_codex":[0.001695311,0.0001159519,0.0001868192,0.0003702941,0.01356614,0.002891618,0.000708581,0.001242414,0.01309918],"category_scores_gemma":[0.003938614,0.0001818615,0.0001095324,0.0005346266,0.007575029,0.001551644,0.002018998,0.001513268,0.001080107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03896165,"about_ca_system_score_gemma":0.03194001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8724493,"about_ca_topic_score_gemma":0.9461487,"domain_scores_codex":[0.9981818,0.000431443,0.00002194722,0.000113185,0.0002902765,0.0009614564],"domain_scores_gemma":[0.9982323,0.0003076789,0.0001926254,0.00004759354,0.0002732297,0.0009465608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001574305,0.00007582331,0.0429714,0.0001472866,0.00001015576,0.002640837,0.5117162,0.0001313372,0.001611211,0.08703491,0.2212206,0.1322828],"study_design_scores_gemma":[0.0000145941,0.00003998489,0.05404575,0.0003218199,0.000009007214,0.0004855781,0.3950679,0.00007646121,0.0003380158,0.002221121,0.5473492,0.00003062407],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3600977,0.005903522,0.0007555556,0.3965733,0.001198315,0.0000498008,0.0002793093,0.00005805133,0.2350845],"genre_scores_gemma":[0.8694534,0.003313301,0.0003232019,0.01960069,0.0001343905,0.00002067069,0.00006916757,0.00003466913,0.1070505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1275507,"threshold_uncertainty_score":0.2826878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03884104496415688,"score_gpt":0.4069855875266593,"score_spread":0.3681445425625024,"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."}}