{"id":"W4402035551","doi":"10.32920/26882488.v1","title":"Alternative Ways of Historical Knowledge Dissemination: Black History on Instagram","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Centre for Social Innovation; Carleton University; York University","funders":"","keywords":"History","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":[],"consensus_categories":[],"category_scores_codex":[0.004258332,0.0004288246,0.0002982014,0.003180808,0.01027588,0.009485565,0.0006829587,0.001591071,0.00921236],"category_scores_gemma":[0.007453729,0.0002461758,0.0002343122,0.002735554,0.01653601,0.01651876,0.006803287,0.002633369,0.0005699802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00435668,"about_ca_system_score_gemma":0.001768728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007817021,"about_ca_topic_score_gemma":0.01581509,"domain_scores_codex":[0.9974009,0.001891823,0.00004955313,0.0001806138,0.000255227,0.0002218135],"domain_scores_gemma":[0.9955421,0.003117945,0.0004596487,0.0003724415,0.0002497361,0.0002581254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005352872,0.00002172004,0.002823527,0.00009761995,0.00001001084,0.0004318285,0.675155,0.00006218193,0.0007138885,0.293791,0.002747004,0.0240927],"study_design_scores_gemma":[0.00001781647,0.00003977282,0.004962382,0.0005889618,0.0000355853,0.0004598382,0.6351741,0.0006229916,0.001755053,0.07215182,0.2841431,0.00004853838],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5442799,0.003420639,0.014948,0.02809371,0.0004390235,0.00006256502,0.0002121669,0.0001238327,0.4084202],"genre_scores_gemma":[0.9874749,0.0006356334,0.001641764,0.0005804693,0.00005841461,0.00002766177,0.00003721432,0.00005378985,0.009490154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01027588,"threshold_uncertainty_score":0.03161007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08304335793656115,"score_gpt":0.337404714741586,"score_spread":0.2543613568050248,"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."}}