From Logic Acceptance to Logic Rejection: The Process of Destabilization in Hybrid Organizations
Why this work is in the frame
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Bibliographic record
Abstract
We study the introduction of the private logic into a mature Italian hospital that was governed previously as a hybrid of professional and public logics. Intriguingly, the reconstituted hospital was for several years widely praised for its strong clinical and financial performance, but quickly and with little warning, it became riven by political differences that led to its demise. Through our case analysis, we develop a multilevel model that reveals the destabilizing process that can unfold when a new logic enters an established organization. We contribute to the hybrids literature by explaining the puzzle of how a new logic can become accepted and then rejected in organizations, emphasizing the critical importance of the interaction between the audience, organization, and practice levels. Crucially, we reveal that positive feedback from multiple audiences may be a mixed blessing for hybrids: although it offers resource and legitimacy advantages, it can induce internal tensions with severe destabilizing consequences. Our findings and model also run counter to two core assumptions within the institutional literature: that social endorsement is advantageous and that alignment with institutional expectations results in stabilization. We qualify these assumptions and indicate the circumstances under which they are unlikely to hold.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.016 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it