{"id":"W4281260049","doi":"10.5206/elip.v5i1.14507","title":"“To Teach Empathy and Fight Racism”","year":2022,"lang":"en","type":"article","venue":"Emerging Library & Information Perspectives","topic":"Library Science and Administration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Scholarship; Racism; Context (archaeology); Indigenous; Narrative; Empathy; Inclusion (mineral); Sociology; Reading (process); Public relations; Political science; Media studies; Gender studies; History; Psychology; Literature; Social psychology; Law; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003281214,0.00008282362,0.00007894422,0.0002465679,0.001741662,0.0003912855,0.0002566488,0.0000228929,0.003241351],"category_scores_gemma":[0.00007436956,0.00008662372,0.00003564589,0.000715924,0.0000952896,0.01374004,0.0001597033,0.0001384078,0.00006487795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003839685,"about_ca_system_score_gemma":0.0002156789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004616699,"about_ca_topic_score_gemma":0.000002783931,"domain_scores_codex":[0.9988989,0.0001058401,0.0001906233,0.0001482387,0.0004388917,0.0002174742],"domain_scores_gemma":[0.9996064,0.00004040989,0.00008143918,0.0001078135,0.00002078567,0.0001430971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003327787,0.00003602643,0.003673185,0.000005170674,0.000007789955,0.000001614488,0.7136511,0.0001573039,0.0000237183,0.2072434,0.06782078,0.007346614],"study_design_scores_gemma":[0.00009072583,0.00006570842,0.007400885,0.000002808673,0.000001881408,0.000001620985,0.3473027,0.0001149668,0.00007518296,0.00167574,0.6431441,0.0001237386],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6513513,0.0002349657,0.0001999858,0.07952173,0.000519301,0.000483512,0.00005451325,0.0004622084,0.2671725],"genre_scores_gemma":[0.9905248,0.00004478743,0.0008320812,0.003288912,0.0001600964,0.00004254132,0.00004453665,0.000005617624,0.005056618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5753233,"threshold_uncertainty_score":0.9995579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066906136436628,"score_gpt":0.2676940469054433,"score_spread":0.257024985541077,"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."}}