Regional Sustainable Transportation Master Plan (Poster)
Bibliographic record
Abstract
Transportation is the lifeline of a community. It is more than just moving people, goods and services. It is an integrated system that connects people, influences their day-to-day activities and promotes a healthy, sustainable and vibrant community now and in the future. Destination2040 What moves you? is the Regional Sustainable Transportation Master Plan (RSTMP) that develops the framework for the future integrated transportation system in the City of Moncton, City of Dieppe and Town of Riverview. It is a long-range transportation master plan that includes short, medium and long-term strategic policy direction and broadly defined programs that will guide future development of transportation networks in the region over the next 30 years. The objectives of the RSTMP are to provide the region with: a vibrant mixed-use transportation network that includes residential, commercial, retail, recreational and other public spaces, together with cultural, entertainment, research, and learning opportunities that create a sustainable and livable community now and in the future; an urban, pedestrian-oriented environment that is characterized by ease of access, attractive public realm, and manageable levels of congestion; an interconnected, multi-modal transportation system that is not only sustainable, but enhances the region’s character and appeal, including downtown centres and community wide while connecting to the larger region; lower regional carbon footprint through the use of alternative modes of transportation, and; implementation strategies within the transportation system that will guide the decision making process for the next 30 years to best serve the community, and to provide policies to guide the transportation plan within the Municipal Plan objectives.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.133 | 0.074 |
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".