Bibliographic record
Abstract
Recently enacted Federal transportation legislation known as MAP-21 — Moving Ahead for Progress in the 21st Century — has brought renewed attention to a proposed interstate corridor connecting Las Vegas, Phoenix and Tucson, Arizona. Part of the much larger Interstate 11 proposal linking Mexico and Canada (otherwise known as the CANAMEX or Intermountain West Corridor), a new type of corridor has the potential to signal a break from the 1950s model of road building and the start of a new, technologically advanced and sustainably minded network of smart infrastructure. Using I-11 as a case study, the intent of this larger research effort is to explore three key ways otherwise status quo infrastructure can be transformed into innovative sustainable solutions: by intervening in the design and planning process, by transforming the existing mono-functional freeway prototype, and by evolving the freeway paradigm from an “engineering only” to a “sustainability first” model. In collaboration with partner schools along the route (University of Arizona, Arizona State University, and University of Nevada, Las Vegas), researchers and design affiliates from architecture, planning, landscape architecture, engineering, and environmental studies are coinvestigating the possibilities of transforming the proposed I-11 freeway from a limited use, auto-dominant roadway into a sustainable, multi-functional, ecologically and socio-economically focused Supercorridor. This presentation will focus on seven sites selected between Casa Grande and Nogales, Arizona and the next generation infrastructure prototype design proposals developed in the 2014 interdisciplinary urban design studio.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.044 | 0.005 |
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".