{"id":"W3019146302","doi":"10.3389/fsoc.2020.00027","title":"Supporting Transgender Inclusion and Gender Diversity in Schools: A Critical Policy Analysis","year":2020,"lang":"en","type":"article","venue":"Frontiers in Sociology","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Transgender; Inclusion (mineral); Democratization; Sociology; Intersectionality; Diversity (politics); Expansive; Economic Justice; Gender studies; Political science; Public relations; Democracy; Law; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005898864,0.0001614337,0.0005253188,0.0005837226,0.0003749628,0.000009171524,0.0002493583,0.0004414974,0.0002160632],"category_scores_gemma":[0.0003966612,0.0001779257,0.0001260078,0.0007052504,0.0004817207,0.0001031886,0.0005914195,0.0006695064,0.00002413115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821374,"about_ca_system_score_gemma":0.0001173232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005363904,"about_ca_topic_score_gemma":0.0002572406,"domain_scores_codex":[0.99755,0.0006972432,0.0004269292,0.0005114573,0.0001272259,0.0006872022],"domain_scores_gemma":[0.9993513,0.0001267182,0.0000743105,0.0001709767,0.00002925388,0.0002474741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008698775,0.00006284531,0.900755,0.0001127744,0.000140551,0.00006181399,0.07959696,0.000007409933,0.000008447262,0.004994417,0.01341959,0.0007532435],"study_design_scores_gemma":[0.001351813,0.00009126148,0.9400123,0.000001926101,0.0002450033,0.000004425407,0.01011388,0.0004057166,5.31416e-7,0.04682728,0.0007051193,0.0002407281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502344,0.002231434,0.007480084,0.03451838,0.0005329452,0.000190319,0.00003414998,0.00004523177,0.004733086],"genre_scores_gemma":[0.992003,0.0002498946,0.001032349,0.006215915,0.0003276739,0.00001030502,0.00001757438,0.00001319855,0.0001301065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06948308,"threshold_uncertainty_score":0.8108655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08132322365292338,"score_gpt":0.426712368668522,"score_spread":0.3453891450155986,"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."}}