Example of a Collaborative Multi-Stakeholder Approach to Transportation Master Planning - The Development of the Halton Region Transportatio Master Plan (2031) - The Road to Change
Bibliographic record
Abstract
In recognition of the multi-jurisdictional nature of the transportation serving Halton Region, the development of the Halton Region Transportation Master Plan (2031) - The Road to Change, was guided by a multi-discipline team from the Region and its Local Municipalities - the Municipal Advisory Group (MAG). In addition to the MAG, a Technical Agencies Committee was established comprising members of the MAG, staff from adjacent municipalities and key stakeholder ministries and agencies. An extensive consultation program involving well over 30 technical meetings which included multiple public information centres, and a public workshop comprised the development of this strategic long range transportation planning document. Stakeholders had input at all milestones of the process. To reach the objectives set out in the Region's Official Plan and subsequently supported in the TMP, the Region, its Local Municipalities, the Ministry of Transportation - Ontario, Ministry of the Environment and Metrolinx will need to continue the dialogue established in the TMP study to jointly coordinate and implement the required transportation system to serve Halton Region to 2031. The collaborative effort pursued in the development of The Road to Change broke down many of the jurisdictional barriers often encountered in strategic transportation planning exercises. A coordinated and unanimous buy-in to the plan was required and achieved, in part, as a result of the consultation program defined for this study. For the covering abstract of this conference see ITRD record number 201211RT334E.
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 | 0.012 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".