{"id":"W4389104512","doi":"10.1177/16094069231217915","title":"Policy Feedback & Research Methods: How Qualitative Research Designs With Marginalized Groups Inform Theory","year":2023,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Qualitative research; Legitimacy; Management science; Sociology; Democratic legitimacy; Public relations; Engineering ethics; Political science; Social science; Economics; Politics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5848923,0.0003096829,0.0008114486,0.007297741,0.0005452072,0.00114185,0.003060855,0.0001604375,0.001368449],"category_scores_gemma":[0.144307,0.0001966225,0.0003507005,0.007444164,0.00157329,0.001973469,0.0005616227,0.001792172,0.0005858486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008396731,"about_ca_system_score_gemma":0.002618016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007689196,"about_ca_topic_score_gemma":0.00004814535,"domain_scores_codex":[0.755232,0.2203233,0.002970696,0.000857431,0.01935509,0.001261434],"domain_scores_gemma":[0.789604,0.1775283,0.001641367,0.0007121959,0.03006995,0.0004441348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002385609,0.0001420795,0.0001144835,0.00001596934,0.0006219803,0.00003152484,0.4544615,0.0002107282,0.00390933,0.3307982,0.01472828,0.1925803],"study_design_scores_gemma":[0.001256136,0.0006172962,0.00114797,0.0001156486,0.00001209109,0.0000456186,0.3554516,0.0003732633,0.001614756,0.5854665,0.05371917,0.0001799621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03867338,0.000204159,0.8964022,0.04929805,0.0009374675,0.0005022275,0.00004787278,0.00003731938,0.01389729],"genre_scores_gemma":[0.071469,0.0002788059,0.90091,0.0005618014,0.0008629235,0.00009978235,0.00002290554,0.00005114539,0.0257436],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4405853,"threshold_uncertainty_score":0.999895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9604508809697415,"score_gpt":0.833181009885129,"score_spread":0.1272698710846125,"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."}}