{"id":"W2131105189","doi":"10.1111/j.1475-4762.2005.00608.x","title":"Narrative analysis as a strategy for understanding interview talk in geographic research","year":2005,"lang":"en","type":"article","venue":"Area","topic":"Qualitative Research Methods and Ethics","field":"Social Sciences","cited_by":289,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McGill University","funders":"","keywords":"Narrative; Interpretation (philosophy); Presentation (obstetrics); Sociology; Qualitative research; Narrative inquiry; Social worlds; Epistemology; Computer science; Social science; Linguistics; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.02625128,0.00007269593,0.000209662,0.0007099821,0.000687391,0.0001440283,0.000255568,0.0001076418,0.0005032271],"category_scores_gemma":[0.002758185,0.00006533257,0.000151123,0.002837481,0.0008824297,0.0002426578,0.00004511961,0.0004127109,0.00001086237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003741614,"about_ca_system_score_gemma":0.0003022492,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009730864,"about_ca_topic_score_gemma":0.1485913,"domain_scores_codex":[0.9939128,0.004399241,0.0002109251,0.0002604243,0.0006573618,0.000559238],"domain_scores_gemma":[0.995665,0.003711573,0.00004198137,0.0001308346,0.0003060383,0.0001446349],"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":[0.00003184614,0.00007546462,0.001438153,0.00002759598,0.0001913827,0.00000557384,0.2393927,0.00008661984,0.00003567338,0.7438871,0.0003259895,0.01450187],"study_design_scores_gemma":[0.0002171816,0.0001473416,0.0009777454,0.00005501467,0.00002008972,1.134449e-7,0.5176072,0.0007365633,0.00001947045,0.4705879,0.009523676,0.0001076684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5260997,0.003081272,0.1305638,0.1276263,0.0001264985,0.002544631,0.00004431772,0.0001141233,0.2097994],"genre_scores_gemma":[0.996262,0.0005399799,0.001742262,0.0001041304,0.0000673049,0.00008267204,0.000005851987,0.000006536865,0.001189275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4701623,"threshold_uncertainty_score":0.9968634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7690471871583087,"score_gpt":0.6481136455737068,"score_spread":0.1209335415846019,"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."}}