‘Citibankers’ at Citigroup: A Study of the Loss of Institutional Trust after a Merger
Bibliographic record
Abstract
abstract In this paper, we present the results of a study of the loss of institutional trust following a merger. Specifically, we focus on how issues of organizational identity and identification processes contributed to the loss of institutional trust among a group of employees of Citigroup after its creation through the merger of Citicorp and Travelers. Our study makes two important contributions. First, we propose and demonstrate empirically that institutional trust, like interpersonal trust, can be identity‐based. Second, adopting a narrative approach to organizational identity, we explore institutional trust in a post‐merger context, highlighting how institutional trust is initially undermined after a merger by the ambiguity of the new organization's identity; and how later, once the identity of the new organization becomes less ambiguous, institutional trust can continue to be undermined by the absence of employees' identification with the new organization, especially among those who were highly‐identified with their legacy organizations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.008 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".