{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004749345,0.0002957811,0.0002981048,0.003005569,0.01086519,0.02321151,0.001240892,0.002252687,0.01037372],"category_scores_gemma":[0.01725933,0.0003285038,0.0002626627,0.002217957,0.02862835,0.02300912,0.01629308,0.003660245,0.001140053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005267509,"about_ca_system_score_gemma":0.005544546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004877142,"about_ca_topic_score_gemma":0.004296139,"domain_scores_codex":[0.9971945,0.001064459,0.0000783473,0.0004543109,0.0004977392,0.0007105599],"domain_scores_gemma":[0.9873906,0.006210502,0.001391,0.001873853,0.0008138478,0.002320167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001192124,0.0001057337,0.01214997,0.00008494849,0.00001352867,0.0009453869,0.2912595,0.0002633402,0.0007047774,0.6166124,0.004726263,0.07301503],"study_design_scores_gemma":[0.00004282417,0.0001497239,0.01566586,0.0004349792,0.0000363205,0.001072221,0.2585832,0.001461209,0.001554734,0.4455551,0.2753549,0.00008901048],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6739391,0.002002425,0.005799606,0.02606971,0.0002547365,0.00004125305,0.0001047842,0.0001194507,0.2916688],"genre_scores_gemma":[0.9942675,0.0003950683,0.0003928908,0.000500151,0.00007565682,0.000009366551,0.00002082488,0.00002686928,0.004311628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9891348,"threshold_uncertainty_score":0.03821868,"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."}}