{"id":"W3216347404","doi":"10.1177/01708406211057725","title":"What is NORML? Sedimented Meanings in Ambiguous Organizational Identities","year":2021,"lang":"en","type":"article","venue":"Organization Studies","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Identity (music); Meaning (existential); Scholarship; Narrative; Sociology; Organizational identity; Ambiguity; Inclusion (mineral); Epistemology; Social psychology; Law; Political science; Aesthetics; Psychology; Gender studies; Social science; Linguistics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001768513,0.000266054,0.0003355863,0.0003281102,0.0004985972,0.0007347954,0.0001884037,0.00006088985,0.003544667],"category_scores_gemma":[0.000699185,0.0002737877,0.00003632249,0.003926502,0.00008707529,0.002674731,0.0006984952,0.00008969822,0.001138441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001112179,"about_ca_system_score_gemma":0.00003765741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003575739,"about_ca_topic_score_gemma":0.0001663549,"domain_scores_codex":[0.9982617,0.00001508118,0.0004522247,0.0004530762,0.0005315572,0.0002863766],"domain_scores_gemma":[0.99735,0.00003701767,0.0002101703,0.0001900595,0.002201589,0.00001117373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001248874,0.0003114237,0.7590058,0.0005673054,0.0006176191,0.0001094655,0.005044686,0.0001336344,0.0009642689,0.1015956,0.1311277,0.0005100845],"study_design_scores_gemma":[0.006718195,0.00003686194,0.5874638,0.001149711,0.0009023366,0.00004079288,0.1430565,0.0005899107,0.01759798,0.1005882,0.1382027,0.003652944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8500263,0.03131186,0.003453601,0.06013516,0.01114601,0.001482318,0.00002255779,0.001616733,0.04080544],"genre_scores_gemma":[0.9606926,0.005718028,0.000343991,0.01665305,0.001183958,0.00001680831,0.0003803072,0.0001180255,0.01489326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.171542,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818489226908672,"score_gpt":0.2372459184323869,"score_spread":0.2190610261633002,"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."}}