Where We're Going, We'll Need Roads! Building the Bridge to the Future
Bibliographic record
Abstract
In a world where global economies are increasingly interdependent, the United States, and its North American counterparts, Canada and Mexico, are booming sources of international trade. Now, more than ever, global competitiveness necessitates developments in U.S. infrastructure, especially at major border crossings where congestion and poor infrastructure create bottlenecks interfering with the free movement of goods. Questions pertaining to international border crossings circle the debate at the most crucial international border crossing in North America: the Ambassador Bridge, which spans the Detroit River between Detroit, Michigan, and Windsor, Ontario. A legal battle rages over the proposed construction of a new publicly owned bridge that will compete with the eighty-six-year-old privately owned bridge. Many questions surround this topic, including whether the United States may allow the construction of a bridge that competes with a private individual’s livelihood. Is there a compelling case for a government taking in favor of public infrastructure? Should a private individual be able to own a major international border crossing? Additionally, in anticipation of construction of a new bridge, what will be the implications for the community that must give up its property to make way for the construction? This Comment will focus on the conflict over the construction of the New International Trade Crossing (NITC), also known as the “Bridge to the Future,” in competition with the Ambassador Bridge and its relevance to the conversation of border infrastructure. It will further demonstrate some of the pitfalls in the private ownership of an international border crossing—as well as some that inhere in government ownership—arguing for a new infrastructure model that promotes collaboration between the public and private sectors. Ultimately, this Article will argue that, like the NITC, future border infrastructure projects should be developed through the use of public-private partnerships (hereinafter “P3s”) to promote North American trade development.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.014 | 0.014 |
| Scholarly communication | 0.007 | 0.018 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.015 | 0.022 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".