{"id":"W4401178927","doi":"10.1080/15456870.2024.2385946","title":"Theories for social justice and reduction of inequalities: a review of freirean communications","year":2024,"lang":"en","type":"review","venue":"Atlantic Journal of Communication","topic":"Social Media and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Inequality; Social justice; Sociology; Reduction (mathematics); Economic Justice; Social inequality; Social science; Political science; Law; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002917364,0.00013075,0.001130518,0.0001454046,0.0002902708,0.00002533874,0.000876516,0.0001836718,0.000007202558],"category_scores_gemma":[0.001898367,0.0001084097,0.000384555,0.0003323733,0.0008925129,0.000122309,0.000117504,0.0003625537,8.0271e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008630008,"about_ca_system_score_gemma":0.0008874029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003201863,"about_ca_topic_score_gemma":0.00003831744,"domain_scores_codex":[0.9964903,0.001777154,0.001257517,0.00006355206,0.0002869464,0.0001245225],"domain_scores_gemma":[0.9943172,0.002401158,0.002020559,0.0004518188,0.0007592327,0.00005005215],"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":[0.000004569903,0.00005586194,0.00000227572,0.1234526,0.0002776028,1.380777e-7,0.02497335,8.15369e-9,6.859642e-7,0.6296917,0.002934823,0.2186063],"study_design_scores_gemma":[0.00007694603,0.00004713204,7.249263e-7,0.08701931,0.00682756,0.00001302228,0.01188863,5.193406e-7,6.920284e-7,0.02377195,0.8702579,0.00009559288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002473009,0.995582,0.00006687768,0.002082857,0.0003365559,0.00048166,0.00004091686,0.000007182809,0.001377153],"genre_scores_gemma":[0.002962364,0.9954858,0.0009611438,0.00002874789,0.0004069521,0.00002278871,0.0000568793,0.00001739923,0.00005787326],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8673231,"threshold_uncertainty_score":0.4420819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1665099217785749,"score_gpt":0.4768804379165189,"score_spread":0.3103705161379439,"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."}}