{"id":"W2898123118","doi":"10.17169/fqs-19.3.3032","title":"Pragmatic Identity Analysis as a Qualitative Interview Technique","year":2018,"lang":"en","type":"article","venue":"Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences)","topic":"Sociology and Education Studies","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Interview; Humanities; Political science; Sociology; Art; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science"],"consensus_categories":["sts"],"category_scores_codex":[0.02179726,0.0002972182,0.0006275743,0.0004175044,0.05814742,0.00538756,0.01010138,0.0002168013,0.0002337827],"category_scores_gemma":[0.002783172,0.0002311242,0.0004638142,0.01156982,0.03696439,0.010082,0.001937733,0.0002463709,0.00006006358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008584145,"about_ca_system_score_gemma":0.003709916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02484746,"about_ca_topic_score_gemma":0.01038661,"domain_scores_codex":[0.9939983,0.001522141,0.000695646,0.001030502,0.001648862,0.001104568],"domain_scores_gemma":[0.9963619,0.000843405,0.0008370376,0.000338043,0.001437709,0.0001819117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003913185,0.000184645,0.003404945,0.00002437554,0.0004974516,0.000001552832,0.43464,0.000003417961,0.0003372789,0.5462118,0.0101077,0.004547664],"study_design_scores_gemma":[0.0005986459,0.0002237297,0.05048762,0.00008059475,0.001570039,0.000004436928,0.7115262,0.0000454435,0.001196167,0.1214973,0.1114545,0.001315396],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1337012,0.0004858427,0.03055377,0.04804119,0.0110831,0.007567394,0.00007799857,0.000402032,0.7680875],"genre_scores_gemma":[0.991937,0.00006925523,0.000974687,0.00135326,0.001979445,0.001297006,0.000005376547,0.0000120677,0.002371851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8582359,"threshold_uncertainty_score":0.9956449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2444583282850622,"score_gpt":0.5941906939107178,"score_spread":0.3497323656256556,"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."}}