{"id":"W2891753138","doi":"10.24251/hicss.2019.781","title":"Change Agents and Resilient Practices: The Power of Symbolic Capital in a Post-Merger Integration Context","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences","topic":"Family Business Performance and Succession","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; HEC Montréal; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Consolidation (business); Knowledge management; Context (archaeology); Symbolic capital; Metropolitan area; Psychological resilience; Public relations; Boundary (topology); Business; Perspective (graphical); Computer science; Sociology; Political science; Psychology; Social psychology; Artificial intelligence; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01708866,0.0006064976,0.000632913,0.003538964,0.02299243,0.01754144,0.00283145,0.003733277,0.004224912],"category_scores_gemma":[0.02481865,0.0005908416,0.0003999244,0.002401258,0.06543466,0.0147526,0.02311655,0.004972837,0.0003182231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009039652,"about_ca_system_score_gemma":0.009506646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006627543,"about_ca_topic_score_gemma":0.00683266,"domain_scores_codex":[0.9737998,0.01892992,0.0004840003,0.001546189,0.002210793,0.003029399],"domain_scores_gemma":[0.9760846,0.01388469,0.003931106,0.002189549,0.001154001,0.002756023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007451532,0.0001275353,0.006863357,0.00006231429,0.0000243614,0.001657776,0.8280923,0.0003481843,0.0008150124,0.1452776,0.0004950277,0.01616197],"study_design_scores_gemma":[0.00003750453,0.0002257315,0.009497941,0.0002369952,0.00003046725,0.0007599486,0.8358731,0.00152215,0.0008566541,0.09961787,0.05126401,0.00007776257],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9016815,0.0006811416,0.01320866,0.01341704,0.0001129536,0.00008829426,0.00001559866,0.00007354432,0.07072129],"genre_scores_gemma":[0.9980387,0.00007456401,0.0008361094,0.0001436233,0.00001483876,0.00001756032,0.000004094159,0.00001091159,0.0008595941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02299243,"threshold_uncertainty_score":0.09037459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05522335623556914,"score_gpt":0.2933140920837355,"score_spread":0.2380907358481664,"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."}}