{"id":"W4392651211","doi":"10.1002/hrm.22215","title":"What are interviews for? A qualitative study of employment interview goals and design","year":2024,"lang":"en","type":"article","venue":"Human Resource Management","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Interview; Semi-structured interview; Psychology; Objectivism; Qualitative research; Staffing; Grounded theory; Variety (cybernetics); Applied psychology; Social psychology; Medical education; Sociology; Computer science; Nursing; Epistemology; Medicine; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002132538,0.0002867253,0.0004313322,0.0005233401,0.0001977219,0.0009859214,0.0003195767,0.00003805881,0.00007578744],"category_scores_gemma":[0.00001381121,0.0002446536,0.0001331103,0.0003317783,0.00005873303,0.0005791914,0.0005262918,0.0001049204,0.00003890045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004467728,"about_ca_system_score_gemma":0.000002011565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007428443,"about_ca_topic_score_gemma":0.0001256076,"domain_scores_codex":[0.9981439,0.0001251887,0.0005790647,0.000554354,0.0003020716,0.0002954614],"domain_scores_gemma":[0.999216,0.0001188958,0.0002231662,0.0003642179,0.00005836736,0.00001932475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005000498,0.00352311,0.001809513,0.03534837,0.004309811,0.0002804414,0.2862764,0.0004459412,0.00009546345,0.1742666,0.2042245,0.2889198],"study_design_scores_gemma":[0.002281702,0.0004586215,0.001754461,0.005585397,0.0008270192,0.00000127244,0.5903907,0.0008032111,0.00001686557,0.01147219,0.3857586,0.0006499626],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552569,0.009802174,0.01223455,0.002618468,0.0009069,0.006666157,0.000006635835,0.0006512681,0.01185693],"genre_scores_gemma":[0.9940955,0.00009682753,0.0001558575,0.0008658762,0.0002556672,0.0005070703,0.00001628823,0.00006634535,0.003940539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3041143,"threshold_uncertainty_score":0.9976682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1573746895740165,"score_gpt":0.3625259793652466,"score_spread":0.2051512897912301,"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."}}