{"id":"W4408217209","doi":"10.1177/14761270251327988","title":"Constructing an organizational identity with political ideology: The case of Huawei, 1987–2020","year":2025,"lang":"en","type":"article","venue":"Strategic Organization","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University; Durham University; University of Leeds","keywords":"Ideology; Politics; Organizational identity; Identity (music); Business; Public relations; Sociology; Political science; Organizational commitment; Aesthetics; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002190952,0.0001010753,0.0001781275,0.000112685,0.0001521014,0.0001255304,0.0001359069,0.00007338203,0.0004660987],"category_scores_gemma":[0.00006737943,0.00009201849,0.00001613597,0.000785697,0.0001293188,0.0007924429,0.00002490167,0.00007699426,0.00004743515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008650757,"about_ca_system_score_gemma":0.0001262316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001123711,"about_ca_topic_score_gemma":0.0002791509,"domain_scores_codex":[0.9991108,0.00001519497,0.0004904558,0.0002015748,0.00002199954,0.0001599375],"domain_scores_gemma":[0.9994314,0.00003928504,0.0001912268,0.0001481403,0.0001489977,0.00004095252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000359757,0.00002222278,0.1541048,0.00002300156,0.000026166,0.000005250373,0.000153671,0.00001620231,0.000008551533,0.8455707,0.00001445006,0.00005130928],"study_design_scores_gemma":[0.001227747,0.00009136168,0.03827938,0.00003069741,0.00003490866,0.0004794055,0.009372458,0.002473704,0.001869511,0.9456872,0.00008094072,0.0003726567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.86645,0.00003052347,0.01335497,0.0008049705,0.0001911513,0.000159804,0.0000575546,0.00004129355,0.1189098],"genre_scores_gemma":[0.9988061,0.000005594007,0.0005891723,0.0001752012,0.00003835443,0.000002284796,0.0001883922,0.000012325,0.0001825472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1323562,"threshold_uncertainty_score":0.5103454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186881691014774,"score_gpt":0.2235646277442293,"score_spread":0.2048764586427519,"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."}}