{"id":"W4400740208","doi":"10.1080/03601277.2024.2380288","title":"Health equity via inclusive communications: self-censorship of marginalized health needs in qualitative research","year":2024,"lang":"en","type":"article","venue":"Educational Gerontology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Government of Manitoba","keywords":"Qualitative research; Equity (law); Health equity; Psychology; Censorship; Public relations; Sociology; Social psychology; Internet privacy; Medicine; Political science; Public health; Nursing; Social science; Law","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2929864,0.001130861,0.001705938,0.005572419,0.01807973,0.01501677,0.004243325,0.004061656,0.002957183],"category_scores_gemma":[0.2344982,0.001852764,0.001284603,0.003501372,0.06004991,0.02189157,0.03250472,0.00680235,0.0003754182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01217239,"about_ca_system_score_gemma":0.0198054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005888115,"about_ca_topic_score_gemma":0.006664908,"domain_scores_codex":[0.5786032,0.3908052,0.008440307,0.006156761,0.009526752,0.006467749],"domain_scores_gemma":[0.5889562,0.3544532,0.01873102,0.02199183,0.0117699,0.004097814],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001291792,0.00001231549,0.001055638,0.0001642325,0.000008954957,0.0001100308,0.988874,0.00002745587,0.0001555026,0.006544849,0.0001584263,0.002875694],"study_design_scores_gemma":[0.00001270352,0.00003985801,0.0008575819,0.001142271,0.00001688565,0.000340916,0.9730925,0.0003223827,0.0004561795,0.01500676,0.008685174,0.00002671804],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.809568,0.007446221,0.07942486,0.06639799,0.000549345,0.002612351,0.0002102777,0.0001278333,0.03366313],"genre_scores_gemma":[0.9849077,0.0008704404,0.007650002,0.003532238,0.00006001484,0.001578367,0.00003991538,0.00004847841,0.001312933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7070136,"threshold_uncertainty_score":0.8718737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3822264444674267,"score_gpt":0.643254643529536,"score_spread":0.2610281990621093,"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."}}