{"id":"W4392135489","doi":"10.1177/16094069241236268","title":"Remote and Equitable Inductive Analysis for Global Health Teams: Using Digital Tools to Foster Equity and Collaboration in Qualitative Global Health Research via the R-EIGHT Method","year":2024,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Allergy and Infectious Diseases; National Institute of Mental Health; National Institutes of Health; International Development Research Centre","keywords":"Rigour; Grounded theory; Qualitative research; Coding (social sciences); Thematic analysis; Knowledge management; Computer science; Equity (law); Data science; Process management; Management science; Engineering; Sociology; Political science; Epistemology; Social science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1324728,0.001355664,0.001105913,0.005807084,0.005368898,0.00673682,0.004272247,0.001794586,0.007563939],"category_scores_gemma":[0.2075702,0.001165296,0.001886099,0.005170551,0.01466355,0.009836068,0.02352106,0.003835559,0.002121453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005426809,"about_ca_system_score_gemma":0.01337781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658006,"about_ca_topic_score_gemma":0.003352793,"domain_scores_codex":[0.7968255,0.1787563,0.00634485,0.005891492,0.01033021,0.001851624],"domain_scores_gemma":[0.7546847,0.1796485,0.01116242,0.03442039,0.01759826,0.002485711],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000324288,0.0002904795,0.003623009,0.003130901,0.0000918847,0.0007257593,0.3738688,0.002487479,0.005643208,0.1645979,0.01029028,0.434926],"study_design_scores_gemma":[0.0006503959,0.000687714,0.004943572,0.006272466,0.0002580377,0.001690714,0.2056314,0.01891419,0.01830479,0.4507966,0.2913731,0.0004771285],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03402063,0.0003777109,0.9272375,0.004998939,0.0002925607,0.009168359,0.0003977721,0.00100136,0.02250517],"genre_scores_gemma":[0.06213254,0.0002142164,0.9214907,0.0005753728,0.00003449406,0.01333665,0.0001756152,0.0002771294,0.00176329],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8675272,"threshold_uncertainty_score":0.7005913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7166983548439992,"score_gpt":0.7555245277030183,"score_spread":0.03882617285901901,"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."}}