When Truces Collapse: A Longitudinal Study of Price-Adjustment Routines
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
We analyze the microfoundations of the routine in a study of price-adjustment processes at a manufacturing firm. Existing theory says that truces balance cognitive and motivational differences across functions, but there is scant evidence on how truces work. We show both stability and change in routines. For minor price adjustments, routines incorporate truces in stable but separate market interpretations by the sales and marketing groups. Major price changes put truces at risk, as latent conflict over information and interests becomes overt. The ensuing battle shows how interests, information, and truces are intertwined in performing the routine. Routines are not just stable entities, but adaptive performances that include conflict. We illustrate how our approach addresses fundamental problems such as how firms perform economics, how routines incorporate economic theory, and how routines shape macroeconomic dynamics. We argue that our approach can be extended to any routine-based organizational work.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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