On the Boundary: Local Authorities, Intergovernmental Relations and the Governance of Border Infrastructure in the Detroit–Windsor Region
Bibliographic record
Abstract
A growing and diverse academic literature exists on the functional, cultural and political linkages between border communities. These examinations of borderland communities seek to explain why and how linkages develop and assess the strength and implications of these relationships. In North America, Detroit–Windsor is the quintessential metropolitan border region along the Canada–US border. It is a community that shares many problems and policy concerns as well as strong functional linkages. One of these concerns is the reform of the Detroit River border crossing. This is the busiest land border crossing in North America and it is central to the regional economy as well as the wider North American economy. Over the past decade, the senior governments have debated reform of border infrastructure and the access routes to planned and existing crossings. One of the central considerations in this set of reforms has been the construction of a new crossing to reduce waiting times and increase infrastructural redundancy at this key choke point. Any new crossing will have a major impact on the local communities and various local actors on both sides of the border have sought to participate in the policy debate and influence the decision-making process. This article examines the extent to which local actors in Detroit and Windsor have interacted and sought to co-ordinate their policy positions and strategies within the border reform debate. The article focuses on the extent of the interaction among municipal governments and community groups in an effort to map and understand functional and political relationships between local actors in this dynamic border space.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".