{"id":"W4399685776","doi":"10.1002/job.2797","title":"Why have we not detected gender differences in organizational justice perceptions?! An evidenced‐based argument for increasing inclusivity within justice research","year":2024,"lang":"en","type":"article","venue":"Journal of Organizational Behavior","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Injustice; Organizational justice; Economic Justice; Extant taxon; Perception; Context (archaeology); Argument (complex analysis); Social psychology; Psychology; Face (sociological concept); Interactional justice; Measurement invariance; Sociology; Political science; Organizational commitment; Social science; Structural equation modeling; Confirmatory factor analysis; Law","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1280207,0.0004287897,0.0008451105,0.002144465,0.001891839,0.002871425,0.002776681,0.001652219,0.004818884],"category_scores_gemma":[0.3285294,0.0004340955,0.0008592629,0.001800814,0.007544234,0.007011995,0.002901047,0.003614043,0.0005506507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415011,"about_ca_system_score_gemma":0.002000023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006170228,"about_ca_topic_score_gemma":0.005551568,"domain_scores_codex":[0.9372627,0.03584969,0.004846436,0.009204918,0.01103882,0.001797376],"domain_scores_gemma":[0.6565307,0.2548722,0.03137817,0.03193031,0.02264455,0.002644109],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006052999,0.0003002673,0.8046634,0.001293203,0.0007472264,0.000413077,0.02397691,0.0003302016,0.001663636,0.02712145,0.007728835,0.1311565],"study_design_scores_gemma":[0.0000845886,0.001024906,0.8442873,0.00352449,0.0004671411,0.001156013,0.02958907,0.00287405,0.005235862,0.0857759,0.0258474,0.0001332237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8146334,0.0116424,0.05925375,0.09121294,0.002300515,0.0004463775,0.001209541,0.000153973,0.01914716],"genre_scores_gemma":[0.9799286,0.0006708522,0.007790814,0.01020562,0.00028594,0.0002547745,0.0001324746,0.00003714879,0.0006937896],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8719792,"threshold_uncertainty_score":0.6770464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.269365074404872,"score_gpt":0.4223527002003497,"score_spread":0.1529876257954778,"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."}}