{"id":"W4384835703","doi":"10.4018/978-1-6684-3615-8.ch011","title":"Treating the “Unequal Unequally”","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in religious and cultural studies (ARCS) book series","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Citizenship; Consumerism; Grandparent; Politics; Inequality; Good citizenship; Political science; Government (linguistics); Core (optical fiber); Class (philosophy); Law and economics; Sociology; Political economy; Law; Engineering; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001229177,0.0005439327,0.0004686972,0.001208025,0.00929887,0.007069751,0.00108603,0.002014809,0.010909],"category_scores_gemma":[0.002456046,0.0002281784,0.0003290648,0.001266211,0.02174899,0.006800159,0.006027017,0.005554577,0.001247613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01175518,"about_ca_system_score_gemma":0.008168806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06069895,"about_ca_topic_score_gemma":0.1235214,"domain_scores_codex":[0.998321,0.0005276276,0.00002235719,0.0001877061,0.0004514689,0.0004897509],"domain_scores_gemma":[0.9994172,0.0002013897,0.0000433173,0.0001098798,0.0001096174,0.0001186268],"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":[0.000003760644,0.000004389098,0.0001153782,0.00001451073,0.000001880388,0.00002412349,0.003473048,0.00005561703,0.00004397203,0.978098,0.009408614,0.008756616],"study_design_scores_gemma":[0.000005391697,0.00001080539,0.0006583323,0.0002036382,0.00000964808,0.00008764363,0.005240432,0.0002006479,0.000180268,0.3950544,0.5983393,0.000009529076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009080421,0.009195313,0.007605877,0.03007514,0.001393423,0.00003958941,0.00005520069,0.00004249196,0.9425125],"genre_scores_gemma":[0.5961331,0.01109811,0.005124541,0.03050189,0.001870712,0.0002236045,0.0001365274,0.000152465,0.3547591],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06069895,"threshold_uncertainty_score":0.1206913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04205766207726214,"score_gpt":0.3600338884894885,"score_spread":0.3179762264122263,"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."}}