{"id":"W2137902932","doi":"10.1215/1089201x-2010-004","title":"Ontario and British Columbia Welfare Policy: Variants on a Neoliberal Theme","year":2010,"lang":"en","type":"article","venue":"Comparative Studies of South Asia Africa and the Middle East","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Welfare state; Welfare; State (computer science); Theme (computing); Race (biology); Neoliberalism (international relations); Politics; Political economy; Welfare system; Political science; Sociology; Gender studies; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0002427166,0.00008079113,0.0003259919,0.00006862599,0.002328089,0.000381074,0.0001547871,0.00004634229,0.0001996167],"category_scores_gemma":[0.0001368438,0.00009264502,0.00005159602,0.0001783904,0.00394008,0.00007864019,0.00008177399,0.000210578,0.000008489138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009232412,"about_ca_system_score_gemma":0.0003133238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8332483,"about_ca_topic_score_gemma":0.9977946,"domain_scores_codex":[0.9991502,0.00010554,0.0001492096,0.0001863318,0.0001848687,0.0002238519],"domain_scores_gemma":[0.9994354,0.00008056832,0.0001009914,0.000118468,0.0001458043,0.0001187305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006932895,0.0000462566,0.002274701,0.00001318297,0.0001730903,0.000005549398,0.897275,2.478664e-7,0.000003327231,0.09335133,0.005247927,0.001540022],"study_design_scores_gemma":[0.001615377,0.00009155675,0.07243452,0.00006017575,0.00007077409,0.000005968507,0.2238437,0.000003309319,2.374821e-7,0.01392107,0.6877244,0.0002288999],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7546406,0.002020131,7.903044e-7,0.002497631,0.0002724762,0.000310044,0.00007798201,0.00001566949,0.2401647],"genre_scores_gemma":[0.9721752,0.00009024775,0.00002158251,0.00006442184,0.000146863,0.00001750618,8.278834e-7,0.000004293507,0.02747899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6824765,"threshold_uncertainty_score":0.9989707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05945151734783666,"score_gpt":0.2537513950459351,"score_spread":0.1942998776980985,"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."}}