{"id":"W3137983208","doi":"10.1177/01708406211006250","title":"Data and Organization Studies: Aesthetics, emotions, discourse and our everyday encounters with data","year":2021,"lang":"en","type":"article","venue":"Organization Studies","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Université du Québec à Montréal","funders":"","keywords":"Sociology; Operationalization; Everyday life; Normative; Politics; Materiality (auditing); Sociality; Aesthetics; Performative utterance; Framing (construction); Epistemology; Social science; Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003221669,0.0002949287,0.0003702843,0.0001476221,0.0009310952,0.0004327241,0.0004124284,0.00004287206,0.00005108685],"category_scores_gemma":[0.002068187,0.0002430517,0.000006451129,0.001810733,0.0001853937,0.002274565,0.004020669,0.00007980219,0.00005018394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003682529,"about_ca_system_score_gemma":0.00003949457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001440053,"about_ca_topic_score_gemma":0.0003266578,"domain_scores_codex":[0.9982395,0.00002397687,0.0003282117,0.0008124823,0.0003717276,0.0002241245],"domain_scores_gemma":[0.9970443,0.0000556764,0.0002429868,0.000808162,0.001830384,0.00001845543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000118285,0.0001771154,0.7599862,0.0008537182,0.001482902,0.00004851643,0.00183571,0.00004468751,0.00008108401,0.01136292,0.2222193,0.001896129],"study_design_scores_gemma":[0.005020855,0.0000813064,0.3116479,0.0011902,0.004779772,0.0001279424,0.4498834,0.001834755,0.00025795,0.003861879,0.2181453,0.003168636],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7242326,0.06792934,0.03981036,0.1565452,0.003925042,0.002514712,0.0007169115,0.001867298,0.0024585],"genre_scores_gemma":[0.974837,0.01595773,0.001644644,0.002312451,0.0007985952,0.000003856846,0.003042924,0.0001060542,0.001296761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4483382,"threshold_uncertainty_score":0.9911359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.063821935033999,"score_gpt":0.3058277978385622,"score_spread":0.2420058628045632,"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."}}