{"id":"W4401823727","doi":"10.1111/1748-8583.12567","title":"Articulating scholarship in human resource management: Guidance for researchers","year":2024,"lang":"en","type":"article","venue":"Human Resource Management Journal","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Western University","funders":"","keywords":"Scholarship; Human resource management; Resource (disambiguation); Business; Resource management (computing); Knowledge management; Operations management; Political science; Computer science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2440029,0.001761703,0.003680561,0.01055694,0.01295624,0.05555378,0.007383736,0.02761234,0.01023105],"category_scores_gemma":[0.4290228,0.001613884,0.001914618,0.009574491,0.02280599,0.04338022,0.02017229,0.03583007,0.006751548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01172591,"about_ca_system_score_gemma":0.07700539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005391454,"about_ca_topic_score_gemma":0.01204662,"domain_scores_codex":[0.8583858,0.1024228,0.01612215,0.003316812,0.01527301,0.004479488],"domain_scores_gemma":[0.3614548,0.4687139,0.01670674,0.01508122,0.09419968,0.04384365],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008630808,0.0002388407,0.0009804749,0.005411486,0.00005244594,0.0008514687,0.04649609,0.0005660775,0.0003621162,0.1094226,0.6768001,0.1587321],"study_design_scores_gemma":[0.0000859752,0.0000906691,0.0003667343,0.02490514,0.00004352762,0.0003639976,0.05174614,0.0006459046,0.0001855805,0.1915943,0.7298362,0.0001358011],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.001071135,0.06695107,0.01129655,0.8774864,0.03430457,0.0006114903,0.00008830268,0.0002516656,0.007938678],"genre_scores_gemma":[0.07523874,0.2340917,0.3229495,0.2801352,0.06372066,0.004506541,0.0006542122,0.0008238852,0.01787966],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7559971,"threshold_uncertainty_score":0.932279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0650186904572481,"score_gpt":0.3136128632424177,"score_spread":0.2485941727851696,"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."}}