{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009042091,0.0002427794,0.0004751205,0.001752031,0.01050283,0.01262875,0.001047856,0.002243171,0.002387364],"category_scores_gemma":[0.02439709,0.0003657181,0.0003070078,0.001333159,0.05097011,0.01952258,0.007299577,0.003019594,0.0003153569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005710814,"about_ca_system_score_gemma":0.004066558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003241967,"about_ca_topic_score_gemma":0.00389664,"domain_scores_codex":[0.9907181,0.00595003,0.0002887913,0.0007069293,0.00144556,0.0008906798],"domain_scores_gemma":[0.990014,0.004264842,0.002244264,0.001440974,0.001144266,0.0008916882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001043266,0.00004487709,0.01106224,0.00008736808,0.000008952763,0.0007301182,0.5882658,0.0001207815,0.001309717,0.378387,0.001184855,0.018694],"study_design_scores_gemma":[0.00001849097,0.00006180409,0.009213945,0.0003260864,0.00001652504,0.0006188088,0.6745038,0.0008306809,0.001349353,0.2598242,0.05316623,0.00007008133],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.799628,0.001138914,0.0171582,0.02751095,0.000381134,0.00006018411,0.00005343103,0.00005959434,0.1540096],"genre_scores_gemma":[0.9975806,0.00009341633,0.0009715063,0.0002844988,0.00002282251,0.0000107069,0.000009568943,0.00002061111,0.001006154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01262875,"threshold_uncertainty_score":0.04781967,"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."}}