{"id":"W2965638919","doi":"10.5465/ambpp.2019.271","title":"Meaning in Work and Meaning at Work: Empirically Based Clarity of the Constructs","year":2019,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Corporate Identity and Reputation","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Meaning (existential); Work (physics); CLARITY; Construct (python library); Context (archaeology); Epistemology; Psychology; Qualitative research; Set (abstract data type); Social psychology; Sociology; Computer science; Social 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":[],"consensus_categories":[],"category_scores_codex":[0.03718326,0.0007792655,0.001359246,0.007636051,0.007536338,0.01566588,0.002046324,0.004410193,0.003006087],"category_scores_gemma":[0.07577439,0.0007331382,0.001002622,0.006717073,0.05911475,0.02800254,0.01621892,0.00744617,0.0002994504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007604999,"about_ca_system_score_gemma":0.008694658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002316108,"about_ca_topic_score_gemma":0.001654851,"domain_scores_codex":[0.9565667,0.03180544,0.002935969,0.002065864,0.005098704,0.001527338],"domain_scores_gemma":[0.913913,0.0625549,0.009189565,0.006592103,0.004834259,0.002916103],"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":[0.00004988637,0.00008733207,0.006281361,0.0007611788,0.00003983483,0.0002489533,0.3071052,0.0003409853,0.0005405499,0.6583282,0.0008223731,0.02539407],"study_design_scores_gemma":[0.00002863176,0.00009629366,0.01212615,0.002252087,0.0000367846,0.0006046572,0.2250862,0.00115255,0.0004148114,0.7258521,0.03224307,0.0001066297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3789143,0.02501355,0.2347625,0.08912919,0.001082503,0.001168241,0.0003616847,0.0001275444,0.2694404],"genre_scores_gemma":[0.9806252,0.001716842,0.01545583,0.001127662,0.0000732585,0.0003965077,0.00005816796,0.00002371409,0.0005227666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03718326,"threshold_uncertainty_score":0.1966462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045351652460367,"score_gpt":0.221565284558434,"score_spread":0.2011117680338304,"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."}}