{"id":"W2395066296","doi":"10.1080/13597566.2016.1181061","title":"Devine intervention? Lessons in systemic retrenchment from Canada’s most generous welfare state","year":2016,"lang":"en","type":"article","venue":"Regional & Federal Studies","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Canada Research Chairs","keywords":"Retrenchment; Bureaucracy; Welfare state; Social Welfare; Welfare; State (computer science); Welfare reform; Revenue; Political science; Economics; Public administration; Political economy; Politics; Market economy; Law; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0140082,0.0004331582,0.001057059,0.001540575,0.02587104,0.01524274,0.002828191,0.005602612,0.004456052],"category_scores_gemma":[0.01890573,0.0003693894,0.0006991673,0.002343183,0.02610093,0.00492274,0.009748065,0.01015626,0.0001782589],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1602766,"about_ca_system_score_gemma":0.3774472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9602727,"about_ca_topic_score_gemma":0.9779042,"domain_scores_codex":[0.9867278,0.002611845,0.0003387103,0.001465123,0.002591575,0.006264983],"domain_scores_gemma":[0.9900554,0.002314507,0.0005821936,0.0007170555,0.003082726,0.00324799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009567551,0.0001514385,0.01315973,0.0002782072,0.0001093593,0.001121168,0.04368288,0.001945496,0.0008317889,0.8612822,0.02316586,0.05417617],"study_design_scores_gemma":[0.0002841368,0.000272066,0.06765226,0.002084323,0.000260317,0.0003873908,0.1498812,0.002963096,0.002236081,0.2807241,0.4928379,0.0004170386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4056109,0.00877331,0.007180008,0.3636503,0.001193388,0.0004681352,0.0003740957,0.0001886731,0.2125612],"genre_scores_gemma":[0.9638858,0.001526791,0.001322919,0.02203716,0.00009360519,0.00008851939,0.00006226615,0.00004379642,0.01093913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1602766,"threshold_uncertainty_score":0.9739601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0627673717780396,"score_gpt":0.3583462000801314,"score_spread":0.2955788283020918,"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."}}