{"id":"W4393358485","doi":"10.1080/10401334.2024.2327767","title":"Enacting a Counterspace to Advise <i>TLM</i> ’s Global Diversity, Equity, and Inclusion Effort","year":2024,"lang":"en","type":"editorial","venue":"Teaching and Learning in Medicine","topic":"Higher Education Learning Practices","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Equity (law); Diversity (politics); Medicine; Medical education; Public relations; Psychology; Business; Political science; Social psychology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02396106,0.003440992,0.00351256,0.004603935,0.008302639,0.01836533,0.005666524,0.03186652,0.01711706],"category_scores_gemma":[0.08583974,0.001511999,0.003176558,0.002218289,0.007243224,0.01107222,0.003804274,0.05045987,0.01339484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006830169,"about_ca_system_score_gemma":0.01475934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005052028,"about_ca_topic_score_gemma":0.0190011,"domain_scores_codex":[0.9821916,0.003952511,0.00157833,0.001585944,0.009493534,0.001198126],"domain_scores_gemma":[0.9168677,0.04407279,0.003145703,0.002785487,0.02235475,0.01077351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006157469,0.000004506778,0.00001161648,0.00006311046,0.000005982811,0.00003110635,0.00003297425,0.000008794389,0.00001884351,0.0005398634,0.997748,0.001529149],"study_design_scores_gemma":[0.00002606584,0.00001182389,0.0001055169,0.0003177239,0.00002067886,0.00007028729,0.00009768453,0.0001005425,0.00006042876,0.001689472,0.9974809,0.0000188864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002271961,0.00163975,0.0001210488,0.09247444,0.9037709,0.00001656935,0.00003208122,0.00006458016,0.001857953],"genre_scores_gemma":[0.0005194067,0.001914785,0.0002666041,0.08375495,0.9004959,0.00004167828,0.0000301496,0.0001115817,0.01286502],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03186652,"threshold_uncertainty_score":0.1267197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310723495506943,"score_gpt":0.4227571832055935,"score_spread":0.399649948250524,"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."}}