The Resilience of Pre-Merger Fields of Practice During Post-Merger Information Systems Development
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article analyzes the interactions among individuals engaged in information system development (ISD) projects aimed to support an organization created by the merger of previously independent entities. The authors draw on a practice perspective on knowledge sharing across boundaries to analyze two ISD projects in a post-merger integration (PMI) context of the merger of three hospitals. In both projects, the final IS-enabled practices differed from the post-merger practices that had been planned by the hospital management. Our analysis suggests that pre-merger fields of practice tend to be resilient, and that this resilience originates in some of the agents' actions aimed at maintaining the status quo. In addition, they found this resilience to be facilitated by the ease of tailoring the software packages used to develop the two IS.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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