{"id":"W4412708034","doi":"10.22605/rrh9205","title":"Framing ârural health equityâ and implications for governance: thematic analysis of 51 expert narratives from a global webinar series","year":2025,"lang":"en","type":"article","venue":"Rural and Remote Health","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; World Health Organization","keywords":"Narrative; Public relations; Health equity; Framing (construction); Thematic analysis; Equity (law); Sociology; Health care; Corporate governance; Rural health; Reflexivity; Political science; Qualitative research; Social science; Management; Economics; Geography; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0396525,0.001076297,0.0007795827,0.005264732,0.006977616,0.006700663,0.001642853,0.002072368,0.003384444],"category_scores_gemma":[0.06358308,0.0006208751,0.0004932487,0.005849625,0.009428765,0.007399623,0.01074098,0.002494151,0.0004528102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005725939,"about_ca_system_score_gemma":0.00566625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004031727,"about_ca_topic_score_gemma":0.005399502,"domain_scores_codex":[0.9679782,0.02520199,0.001447281,0.001192443,0.002408748,0.001771421],"domain_scores_gemma":[0.9043863,0.08455156,0.003130121,0.002129048,0.004615027,0.001187879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002339341,0.00001138201,0.001276112,0.0002241354,0.000004092858,0.0004637566,0.989156,0.00007557615,0.0003570738,0.002364463,0.0009829635,0.00506103],"study_design_scores_gemma":[0.000002266557,0.00001021871,0.001057579,0.0004313612,0.000003652179,0.0001375155,0.9811214,0.0001483547,0.0003787163,0.0008986517,0.01579948,0.00001084205],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952193,0.001439992,0.01099149,0.00758795,0.0002393457,0.001063718,0.001422722,0.00004892152,0.02501291],"genre_scores_gemma":[0.9811142,0.001670904,0.007642352,0.001338511,0.00007609269,0.001436597,0.0007886469,0.0001591121,0.005773552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0396525,"threshold_uncertainty_score":0.2097049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03728442556353023,"score_gpt":0.4572681698814064,"score_spread":0.4199837443178762,"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."}}