{"id":"W4386743605","doi":"10.1177/01708406231203295","title":"Prefiguring Alternative Organizing: Confronting marginalization through projective cultural adjustment and tempered autonomy","year":2023,"lang":"en","type":"article","venue":"Organization Studies","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hong Kong Polytechnic University; Research Grants Council, University Grants Committee; International Development Research Centre","keywords":"Autonomy; Constructive; Sociology; Politics; Negotiation; Public relations; Corporate governance; Law and economics; Process (computing); Epistemology; Political science; Law; Social science; Economics; Management","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":[0.0001822271,0.0001655008,0.0001944566,0.0001528614,0.0005039863,0.0002003299,0.00007433956,0.00003834507,0.00007705139],"category_scores_gemma":[0.0002836011,0.000150712,0.00001304587,0.00097777,0.00006073942,0.001144167,0.0002359661,0.00005607727,0.0002628058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002075424,"about_ca_system_score_gemma":0.00003993886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003969148,"about_ca_topic_score_gemma":0.000007141555,"domain_scores_codex":[0.9990994,0.0000102803,0.0002832858,0.0002846516,0.000134504,0.0001878376],"domain_scores_gemma":[0.9988124,0.00002346178,0.0002372652,0.00007255602,0.0008488193,0.000005460881],"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":[0.00003291387,0.0001378617,0.3607592,0.001022756,0.001522365,0.00001920502,0.1452299,0.0005973964,0.003382182,0.4054334,0.0748978,0.006965047],"study_design_scores_gemma":[0.004066345,0.00003224044,0.5406395,0.0003830673,0.0002503244,0.00001222051,0.236332,0.004126263,0.007602652,0.009633172,0.1950389,0.00188333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814527,0.0002025387,0.001556994,0.003014742,0.001225815,0.000741834,0.000002874958,0.0007744834,0.01102799],"genre_scores_gemma":[0.9945717,0.0001842112,0.0004929361,0.001384551,0.0006354351,0.0000366727,0.0001642588,0.00004108727,0.002489141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3958002,"threshold_uncertainty_score":0.6145855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06875710802644903,"score_gpt":0.2937301301463339,"score_spread":0.2249730221198849,"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."}}