Path-Dependence and the Challenges of Institutional Adaptability: The Case of the Niagara Region in Canada
Bibliographic record
Abstract
Abstract The paper uses the concept of path dependence to explain the challenges and complexities of institutional adaptation at the subnational level. The notion of path dependence is rooted in the well-established research tradition of historical institutionalism, one of the variants of neoinstitutionalism. The academic literature on the new institutionalism, however, has tended to focus on the national level of analysis. But there is a growing recognition of cities and regions as the main engines of socioeconomic change in the current age of seismic global economic perturbation. Their historic and current significance has thus made them arguably more organic units of governance than modern states or supranational regimes. The discussion focuses on the Niagara region in Canada to illustrate the institutional infrastructure of governance underpinning the economic landscape of city-regions and the challenges of reform that such local regions face in an age of unprecedented global socioeconomic change.
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How this classification was reachedexpand
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.016 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".