{"id":"W3177172747","doi":"10.36510/learnland.v14i1.1031","title":"Slowing Down and Digging Deep: Teaching Students to Examine Interview Interaction in Depth","year":2021,"lang":"en","type":"article","venue":"LEARNing Landscapes","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conversation; Interview; Notice; Pedagogy; Sociology; Digging; Semi-structured interview; Mathematics education; Psychology; Qualitative research; Social science; History; Political science; Communication","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004467411,0.000138394,0.0002553625,0.0001717154,0.0002964272,0.0004556816,0.0001070652,0.00001917369,0.0004829989],"category_scores_gemma":[0.0002964256,0.0001193633,0.00005381197,0.00005635706,0.0000210607,0.0002666469,0.000239962,0.0003296804,0.0000319351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002968654,"about_ca_system_score_gemma":0.000005167856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001781321,"about_ca_topic_score_gemma":0.0136982,"domain_scores_codex":[0.9989058,0.0002049729,0.000223788,0.0002716384,0.0001846245,0.0002091845],"domain_scores_gemma":[0.9996144,0.0001402563,0.00005851451,0.0001068374,0.00003901246,0.00004093825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002347325,0.0002078801,0.2606017,0.0001682999,0.0004387328,0.0002506451,0.4120653,0.001955278,0.0003346227,0.004289251,0.000344709,0.3193201],"study_design_scores_gemma":[0.001489031,0.0002139139,0.06819549,0.00249154,0.0003074122,0.00003577344,0.5511957,0.003240169,0.000192999,0.0001679613,0.37152,0.000950016],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494456,0.001660146,0.0001966434,0.0004185402,0.0002213675,0.00006035878,6.268116e-7,0.00006703275,0.04792971],"genre_scores_gemma":[0.9954323,0.00007749577,0.0001402828,0.0002532776,0.0002825521,0.00001373108,0.0000146377,0.00001765581,0.003768137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3711753,"threshold_uncertainty_score":0.7643916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225454530456443,"score_gpt":0.3008562206744597,"score_spread":0.2783107676288154,"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."}}