{"id":"W4245750589","doi":"10.32920/ryerson.14660292.v1","title":"Ageism analyzed and redefined: a critical discourse analysis","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Centre for Social Innovation","funders":"","keywords":"Globe; Subject (documents); Gender studies; White (mutation); Sociology; Critical discourse analysis; Work (physics); Gerontology; Older people; Order (exchange); Psychology; Political science; Medicine; Politics; Library science","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":[0.03976068,0.00119467,0.000947918,0.01045198,0.01250236,0.01627119,0.002065988,0.003252834,0.002526497],"category_scores_gemma":[0.04449815,0.0006638669,0.0006687865,0.00625297,0.02555996,0.01853909,0.007657561,0.005778633,0.0003026555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0125015,"about_ca_system_score_gemma":0.006827455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00440349,"about_ca_topic_score_gemma":0.00446513,"domain_scores_codex":[0.9709187,0.02353064,0.0009106346,0.001408144,0.002326359,0.0009055442],"domain_scores_gemma":[0.8942018,0.09450416,0.002825678,0.001319222,0.006229459,0.0009197767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003369265,0.00002181637,0.0005279462,0.0002791888,0.000006347315,0.0003601214,0.9462839,0.00004520026,0.0007869939,0.04436662,0.001487721,0.005800609],"study_design_scores_gemma":[0.00001210922,0.00002390473,0.0006677517,0.001194757,0.00001573382,0.0001723024,0.9206244,0.000342745,0.001585869,0.01445383,0.06087953,0.000026982],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7399158,0.01769118,0.07198079,0.06521879,0.003556099,0.002256635,0.001003699,0.000169729,0.09820727],"genre_scores_gemma":[0.9540472,0.004591663,0.02715576,0.003121172,0.0006462128,0.0009231037,0.0002587896,0.0002139973,0.009042131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03976068,"threshold_uncertainty_score":0.2102771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0627504059710158,"score_gpt":0.4621995960266054,"score_spread":0.3994491900555895,"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."}}