Assessing New Winter Maintenance Management Approaches at the Ministere Des Transports of Quebec
Bibliographic record
Abstract
The Ministere des Transports du Quebec (MTQ ) manages 31,800 kilometers of roads, and is responsible for winter maintenance on those roads. For the past 10 years, the MTQ has faced two major problems: lack of competition for contracts in some regions, and a general increase in the cost of contracts. A working committee was formed specifically for this purpose focused on developing solutions aimed at mitigating them. This article reports on the work of the committee, focusing on six specific issues: development of a competitive environment; evaluation of various approaches to risk sharing between the MTQ and snow-removal contractors; development of new forms for snow-removal contracts; testing of new forms for the fall of 2008; upholding of winter maintenance standards in order to ensure the same quality of service to the public; and delivery of an annual report and a final report, including analyses and recommendations for the MTQ's Winter Maintenance Management Committee. Two solutions were identified to set up the following risk-sharing arrangements between the MTQ and suppliers: risk sharing based on the number of hours of operation and the consumption of de-icing materials; and risk sharing based on the amount of snowfall in centimeters. The authors also report on a pilot project that featured a sampling of potential representative pilot sites of all the roads managed by the MTQ, carried out in cooperation with local network managers taking into account 90 climate zones. A monitoring plan was developed that included close monitoring of operational, climatic, financial, and technical elements. The authors conclude that contractual adjustments offer numerous benefits and the establishment of risk-sharing arrangements made it possible to emphasize the development of a partnership relationship with snow- and ice-removal contractors.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".