{"id":"W7113750283","doi":"","title":"Fair Share or Free Ride? A thematic and critical analysis of the political discourse of Canada’s equalization program under the Harper and Trudeau government","year":2025,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Critical discourse analysis; Rhetoric; Coalition government; Transparency (behavior); Government (linguistics); Accountability; Ideology; Narrative","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":[0.01019034,0.0007231695,0.0005380753,0.00371059,0.0491176,0.01461606,0.002757887,0.003605915,0.001775408],"category_scores_gemma":[0.01174357,0.0004278166,0.0004170483,0.005923054,0.06172569,0.005955912,0.004150177,0.005797049,0.00013028],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1965132,"about_ca_system_score_gemma":0.1405564,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9581221,"about_ca_topic_score_gemma":0.9599097,"domain_scores_codex":[0.9922593,0.003271512,0.0001219408,0.0005604973,0.001857355,0.001929331],"domain_scores_gemma":[0.9898331,0.006191482,0.000493366,0.0002974214,0.002230705,0.0009538746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002609626,0.0000104904,0.001069676,0.00004087289,0.000003196745,0.0002137445,0.9002443,0.0001220898,0.0003153093,0.08993109,0.003968694,0.004054409],"study_design_scores_gemma":[0.000005133119,0.00000808052,0.002445595,0.0001778518,0.00001121239,0.00004821854,0.9025292,0.0003234433,0.0004259403,0.006617653,0.08737686,0.00003074756],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7162063,0.004604471,0.005150745,0.08631046,0.0006174136,0.0001904888,0.0003754102,0.00008511447,0.1864596],"genre_scores_gemma":[0.988654,0.0006001508,0.0007229053,0.001253223,0.00004941767,0.00003304584,0.00005520384,0.00003853497,0.008593674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1965132,"threshold_uncertainty_score":0.9319308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122351352322495,"score_gpt":0.2064117918656333,"score_spread":0.1951882783424083,"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."}}