{"id":"W4385219581","doi":"10.5465/amproc.2023.10018abstract","title":"Oppositional Occupations and Automatic Script-based Mechanisms of Work-Home Conflict","year":2023,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Adversarial system; Normative; Psychology; Cognition; Work (physics); Social psychology; Scripting language; Conflict theories; Task (project management); Dimension (graph theory); Cognitive psychology; Sociology; Conflict resolution; Epistemology; Political science; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.002027852,0.0002330881,0.0001909561,0.0009328111,0.001167099,0.003719525,0.0008821981,0.0007617141,0.005698308],"category_scores_gemma":[0.01235638,0.0003270002,0.0003312079,0.0004040489,0.00449636,0.002306463,0.002169013,0.0008613273,0.0004183145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009970303,"about_ca_system_score_gemma":0.0007366549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124899,"about_ca_topic_score_gemma":0.0007908549,"domain_scores_codex":[0.9981759,0.0009479038,0.00009406065,0.000249917,0.0003186619,0.0002136259],"domain_scores_gemma":[0.9924065,0.003314394,0.001937448,0.00123006,0.0003141634,0.0007973893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003675103,0.0005283469,0.1660216,0.0001926746,0.0000582775,0.001713232,0.07287277,0.005047003,0.01078339,0.674189,0.001538115,0.06668806],"study_design_scores_gemma":[0.0001166405,0.0003471376,0.2601745,0.0002675595,0.00004572807,0.002509546,0.02937802,0.0610084,0.003728288,0.6301579,0.01209964,0.0001666535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8290875,0.0002454624,0.06381126,0.001622883,0.0000794114,0.00009308319,0.00006396812,0.0001910761,0.1048053],"genre_scores_gemma":[0.9964058,0.00002673398,0.002492132,0.00004688105,0.00001170106,0.00003080935,0.00001915865,0.00001252196,0.0009541105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005698308,"threshold_uncertainty_score":0.0190627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02883234695229554,"score_gpt":0.2588257659606207,"score_spread":0.2299934190083252,"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."}}