{"id":"W4391751606","doi":"10.26522/ssj.v18i1.4097","title":"Public Service Media and Diversity in the Digital Media Landscape: Opportunities and Limitations for Social Justice","year":2024,"lang":"en","type":"article","venue":"Studies in Social Justice","topic":"Social Media and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Social justice; Social media; Public service; Economic Justice; Service (business); Sociology; Public relations; Political science; Media studies; Business; Social science; Marketing; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007941955,0.0001400302,0.0002427569,0.0001137022,0.002505052,0.0002717351,0.0002136691,0.0001536722,0.000004306151],"category_scores_gemma":[0.005645658,0.0001252434,0.00004522783,0.0005673463,0.001073896,0.0003863978,0.0002458946,0.0002315287,0.000002647416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047175,"about_ca_system_score_gemma":0.0002260746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002106673,"about_ca_topic_score_gemma":0.011979,"domain_scores_codex":[0.998511,0.0002347836,0.0002069488,0.0002148528,0.0003896149,0.0004427786],"domain_scores_gemma":[0.9887835,0.01083814,0.00004816282,0.00004414793,0.0002082104,0.00007777979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009060201,0.0000227797,0.0007715602,0.00029352,0.00004058154,0.00001524459,0.697672,6.200403e-8,2.062528e-7,0.2778279,0.01601708,0.007329993],"study_design_scores_gemma":[0.0002931221,0.00001251597,0.004083043,0.0000295571,0.0003892205,7.602389e-7,0.901384,0.00001530723,8.221208e-8,0.02757425,0.06606854,0.0001495808],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6312767,0.01276713,0.00003317614,0.2343277,0.01135517,0.001311067,0.0009591156,0.0002526362,0.1077173],"genre_scores_gemma":[0.9890071,0.0047557,0.00003540127,0.001510521,0.004486213,0.00006296736,0.00002681321,0.00001163163,0.0001036805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3577304,"threshold_uncertainty_score":0.9987935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3943230189731061,"score_gpt":0.4003511485989011,"score_spread":0.00602812962579502,"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."}}