{"id":"W4377981701","doi":"10.1016/j.jaging.2023.101138","title":"The qualitative embedded case study method: Exploring and refining gerontological concepts via qualitative research with older people","year":2023,"lang":"en","type":"article","venue":"Journal of Aging Studies","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; McMaster Institute for Research on Aging, McMaster University","keywords":"Qualitative research; Scholarship; Sociology; Positivism; Epistemology; Intersectionality; Psychology; Social science; Gender studies","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":[],"category_scores_codex":[0.07372186,0.0009999122,0.0008267747,0.002679552,0.009003812,0.006374165,0.003532969,0.002412389,0.004961718],"category_scores_gemma":[0.06501961,0.001042726,0.0007930986,0.002124274,0.01207275,0.006923036,0.01075562,0.003169853,0.0006265422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006065448,"about_ca_system_score_gemma":0.01136879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003286696,"about_ca_topic_score_gemma":0.008355807,"domain_scores_codex":[0.9455374,0.04806346,0.001267594,0.001662363,0.002187758,0.001281381],"domain_scores_gemma":[0.8757513,0.1086689,0.003133021,0.004245151,0.006134351,0.002067411],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001472276,0.0002934831,0.002747469,0.001451154,0.00002270538,0.000637175,0.9117864,0.0002833511,0.002959746,0.03593335,0.001773608,0.04196425],"study_design_scores_gemma":[0.0002120237,0.0003137305,0.002251304,0.002947049,0.0000719371,0.001087529,0.8852823,0.00153888,0.006030043,0.03885916,0.06129618,0.0001100103],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5385713,0.002354962,0.3802494,0.01670977,0.001003341,0.01726957,0.0008827514,0.0002618402,0.04269715],"genre_scores_gemma":[0.7040972,0.001105606,0.2701776,0.00294282,0.00007971163,0.01462525,0.0001634901,0.0001006637,0.006707737],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9262781,"threshold_uncertainty_score":0.3898831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6751396990224265,"score_gpt":0.688187269588464,"score_spread":0.01304757056603745,"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."}}