{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09853494,0.0005179368,0.0009103101,0.00309399,0.01577442,0.00847312,0.002405533,0.002324774,0.00303427],"category_scores_gemma":[0.1267154,0.00106057,0.0004632381,0.00382197,0.011682,0.007323375,0.005759086,0.00363927,0.0005728624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01133337,"about_ca_system_score_gemma":0.01204182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003311738,"about_ca_topic_score_gemma":0.004316995,"domain_scores_codex":[0.87023,0.1183246,0.002080726,0.001561947,0.004041926,0.003760899],"domain_scores_gemma":[0.8145456,0.1583371,0.007028601,0.002346952,0.01158922,0.006152457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005900222,0.00007363281,0.002442409,0.0003100637,0.000003705997,0.0004235934,0.9780746,0.0000740161,0.0009365917,0.006097951,0.0008207569,0.01068373],"study_design_scores_gemma":[0.00001138713,0.00005576397,0.001029868,0.0005378223,0.000002889904,0.0001386576,0.9801043,0.0002124883,0.0003531837,0.001709607,0.01582909,0.0000149429],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669444,0.002865088,0.06630573,0.02283377,0.00043239,0.005017826,0.000670794,0.000185268,0.03474475],"genre_scores_gemma":[0.9760022,0.001002693,0.01443707,0.00147208,0.00003826535,0.003732843,0.0001079903,0.00006875557,0.00313798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09853494,"threshold_uncertainty_score":0.5211088,"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."}}