{"id":"W4214952695","doi":"10.32920/16632277","title":"Deconstructing Queer/Trans Aging: A Critical Discourse Analysis","year":2021,"lang":"en","type":"preprint","venue":"","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Centre for Social Innovation","funders":"","keywords":"Queer; Newspaper; Gender studies; Postmodernism; Sociology; Critical discourse analysis; Inclusion (mineral); Queer theory; Diversity (politics); White (mutation); Sample (material); Gerontology; Media studies; Political science; Politics; Anthropology; Art; Ideology; Medicine; Literature","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02058993,0.001001512,0.0005557312,0.00600217,0.01397305,0.01225036,0.001693398,0.002075334,0.002504128],"category_scores_gemma":[0.01531672,0.0003241177,0.0003228795,0.00439731,0.02938171,0.01061611,0.005901416,0.003581909,0.0002469902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0213617,"about_ca_system_score_gemma":0.0130677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0405472,"about_ca_topic_score_gemma":0.04968227,"domain_scores_codex":[0.9916492,0.00649266,0.0001975069,0.0004186461,0.0007571994,0.0004848984],"domain_scores_gemma":[0.9716029,0.02398992,0.001008322,0.0005807476,0.00217909,0.0006388887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001032675,0.000007654889,0.0002728497,0.00007070246,0.000001700665,0.0002260335,0.9340189,0.00003551564,0.0002760286,0.0610517,0.001012932,0.003015729],"study_design_scores_gemma":[0.000003888542,0.000008809705,0.00057631,0.0002864485,0.000006006986,0.0000867072,0.930498,0.0002278074,0.0005974983,0.009504822,0.05819386,0.000009746266],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7339925,0.009678024,0.03887764,0.0496348,0.001191302,0.0008010883,0.0005969834,0.0001251062,0.1651026],"genre_scores_gemma":[0.9746718,0.002819722,0.007631449,0.001481328,0.0002453431,0.0002488109,0.0001520991,0.0001204018,0.01262908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0405472,"threshold_uncertainty_score":0.1549908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05411786604277337,"score_gpt":0.4665127526513929,"score_spread":0.4123948866086196,"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."}}