{"id":"W4411367009","doi":"10.3390/socsci14060387","title":"From Academia to Algorithms: Digital Cultural Capital of Public Intellectuals in the Age of Platformization","year":2025,"lang":"en","type":"article","venue":"Social Sciences","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cultural capital; Sociology; Capital (architecture); Public relations; Symbolic capital; Politics; Cultural studies; Political economy; Political science; Social science; Law; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001330018,0.00006664304,0.0001535356,0.0001154479,0.0003785856,0.0001288284,0.0006406248,0.0001489738,0.00004080246],"category_scores_gemma":[0.001449957,0.00004623401,0.00005904567,0.001531645,0.001125732,0.0004650908,0.00006248928,0.0001378974,0.000004202986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005255954,"about_ca_system_score_gemma":0.0004201962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002482228,"about_ca_topic_score_gemma":0.002203242,"domain_scores_codex":[0.998629,0.0001183995,0.00024769,0.0001663681,0.0005720759,0.0002664092],"domain_scores_gemma":[0.9993986,0.0003541387,0.00008462656,0.00004876439,0.00007851932,0.00003529325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004121012,0.00004825533,0.009960891,0.000004541471,0.000008433855,5.887274e-7,0.9276459,0.000003815221,0.0003282451,0.02576214,0.002702604,0.03353047],"study_design_scores_gemma":[0.000155576,0.00004691895,0.01833369,0.00002189213,0.000007711765,6.688146e-8,0.9400041,0.00001091163,0.0004229694,0.02679249,0.01410235,0.0001013252],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424511,0.0001062344,0.0002802638,0.003579295,0.0003549177,0.0002113192,0.00002401022,0.00001291187,0.05297998],"genre_scores_gemma":[0.9991005,0.00003422768,0.00009182371,0.0002614192,0.000196549,0.000008314338,0.00000896667,0.000001404226,0.0002967802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05664945,"threshold_uncertainty_score":0.4147808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09674405337211849,"score_gpt":0.3868243444228703,"score_spread":0.2900802910507518,"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."}}