The Path of Least Resistance: The historical contingency of intra-logic persistence and change
Bibliographic record
Abstract
This study examines the how a locally instantiated logic emerges and changes over time. Employing a longitudinal cross-level research design, we trace the evolution of French Grandes Écoles of Commerce (FGEC) from the early 1800s to the present. Our findings reveal that changes in the broader institutional environment trigger critical junctures, whereby organizations are confronted with a heightened level of institutional complexity. Organizational responses to complexity during these critical junctures not only act to recursively change an incumbent logic, but also influence the future trajectory of intra-logic evolution. We develop an analytical framework outlining six ideal-type mechanisms and processes that characterize intra-logic persistence and change. These ideal types can be organized along three broad dimensions: instrumental, structural, and cultural-inertial. This study empirical demonstrates that intra-logic change is bound by past decisions, path-dependent processes, and a supporting institutional infrastructure that is reproduced and perpetuated by self-reinforcing mechanisms.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".