Development of School Area Traffic Safety Guidelines for Manitoba
Bibliographic record
Abstract
The development of School Area Traffic Safety Guidelines for Manitoba was initiated in a joint effort by Manitoba Infrastructure and Transportation (MIT) and Manitoba Education in June 2011. MMM Group Inc. was tasked with authoring the report, which is expected to be complete in 2013. The objective was to develop a procedural manual and safety assessment toolkit that can assist traffic authorities and school divisions in addressing traffic safety concerns associated with school areas in rural, suburban, and urban areas. The guidelines can be applied to both remediate issues at existing schools, and to address potential issues when planning new schools. The guidelines examine issues such as: active transportation on the school site and in the surrounding area; vehicular safety on the school site and in the surrounding area; and procedural changes that can be made by the school to improve traffic safety. The project used a consultative approach in which a steering committee met regularly to guide the project. This committee included representatives from Manitoba Infrastructure and Transportation, Manitoba Education, Manitoba School Board Association, Manitoba Public Schools Finance Board, CAA, the RCMP, and Manitoba Public Insurance, as well as a number of other stakeholders. The project included a literature review of existing school area traffic safety guidelines and documentation, site visits to schools to observe typical conditions, pilot applications of the guidelines at a suburban and rural school, and several stakeholder consultation workshops. For the covering abstract of this conference see ITRD record number 201310RT334E.
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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 | 0.022 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.007 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".