{"id":"W2566010696","doi":"10.1037/qup0000064","title":"An account from the inside: Examining the emotional impact of qualitative research through the lens of “insider” research.","year":2017,"lang":"en","type":"article","venue":"Qualitative Psychology","topic":"Qualitative Research Methods and Ethics","field":"Social Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Insider; Qualitative research; Psychology; Empathy; Social psychology; Applied psychology; Public relations; Sociology; Political science; Social science","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":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.123239,0.001183113,0.001239582,0.003951245,0.01873576,0.01693911,0.003238774,0.005541152,0.002989579],"category_scores_gemma":[0.1525538,0.001526506,0.001418385,0.003624255,0.06077649,0.01759672,0.01585261,0.009478001,0.0006729744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01047876,"about_ca_system_score_gemma":0.01058136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004741726,"about_ca_topic_score_gemma":0.00863999,"domain_scores_codex":[0.742495,0.2444308,0.002259625,0.002712559,0.005895291,0.002206766],"domain_scores_gemma":[0.7551522,0.2201281,0.007410612,0.008366946,0.005952482,0.002989599],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000153842,0.000009815463,0.0003593254,0.0001885709,0.000007010402,0.0002366224,0.9855232,0.00004344383,0.0003526131,0.00995493,0.0006529962,0.002656051],"study_design_scores_gemma":[0.00001833302,0.00005209623,0.0005507007,0.001782032,0.00002293864,0.0006238995,0.9366472,0.0004740402,0.0007482001,0.01904391,0.03999805,0.00003853226],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4202496,0.02042155,0.2482461,0.1935976,0.004935002,0.004013696,0.0009748802,0.0005010365,0.1070605],"genre_scores_gemma":[0.9300075,0.004358624,0.04288156,0.01149139,0.0003295573,0.003962321,0.0001269927,0.0003115103,0.006530539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.876761,"threshold_uncertainty_score":0.6517578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.914757044740666,"score_gpt":0.794122769629265,"score_spread":0.120634275111401,"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."}}