Multijurisdictional and Multimodal Infrastructure Corridors: Supranational Social Value, Assembly and Implementation Barriers
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
There is very limited theory and policy guidance that specifically relates to multijurisdictional and multimodal (M&;M) infrastructure corridors: those that traverse national boundaries and encompass multiple modes of co-located infrastructure modes. This paper develops a framework for understanding the social welfare costs and benefits—and the barriers to implementing—these corridors. The framework posits the need for both a dedicated assembler and a national (or supranational) sponsor. An assembler provides the platform to match up initial property rights holders, infrastructure mode providers and end users. The sponsor financially and politically backstops an assembler. We decompose the economic necessity for, and advantages of, an assembler and also those that result from some degree of multimodality. We also consider the economic and political barriers to M&;M corridor implementation. To illustrate these, we review the evidence from the very small number of proposed or realised M&;M corridors and closely related projects. Although reliable evidence is scarce, it is consistent with the framework’s implications regarding the need for both an assembler and a sponsor.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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