{"id":"W2880815098","doi":"10.5465/ambpp.2018.13911abstract","title":"Building Organizational Commitment through Cognitive and Relational Job Crafting","year":2018,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Organizational commitment; Normative; Psychology; Job analysis; Craft; Affective events theory; Job design; Job performance; Knowledge management; Context (archaeology); Job attitude; Cognition; Organizational learning; Contextual performance; Social psychology; Business; Public relations; Job satisfaction; 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":[0.002785034,0.0002432639,0.0001818102,0.0009315428,0.002075908,0.003630432,0.0007762638,0.0006348306,0.003255285],"category_scores_gemma":[0.009782,0.0002750336,0.0002727126,0.0005191792,0.002388578,0.001424192,0.003698413,0.001328382,0.000322257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060872,"about_ca_system_score_gemma":0.002372507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003112725,"about_ca_topic_score_gemma":0.004538012,"domain_scores_codex":[0.997162,0.00148599,0.00008572543,0.0002210588,0.0004237148,0.0006216152],"domain_scores_gemma":[0.9915413,0.003559291,0.001775992,0.0007536168,0.0005489255,0.001820846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004292427,0.003668797,0.4519076,0.0007266532,0.0002180836,0.00121181,0.1441698,0.002228022,0.009932808,0.03973844,0.002048008,0.3437207],"study_design_scores_gemma":[0.0000853745,0.001072948,0.7821774,0.0006567265,0.0001475017,0.0008158158,0.1632048,0.00438576,0.003628224,0.0223486,0.02134856,0.0001282913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715196,0.0001691956,0.003329478,0.0008321333,0.00001391524,0.00004395747,0.00001283893,0.00002545522,0.0240534],"genre_scores_gemma":[0.9983385,0.00005936206,0.0009046408,0.00005502296,0.000003392219,0.00001197989,0.000007317088,0.000003661334,0.0006159955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003630432,"threshold_uncertainty_score":0.01472878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813080897596794,"score_gpt":0.2599564613587368,"score_spread":0.2318256523827689,"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."}}