The Tibbitt to Contwoyto winter road in the NWT: identification of available data and research needs
Bibliographic record
Abstract
Information on the Tibbitt to Contwoyto Winter Road north of Yellowknife was acquired by the author during a three-day field trip in March 2008. The construction and maintenance of this road, most of which is constructed over frozen lakes, is managed by the Joint Venture Management Committee (JVMC). It is a major access road to supply several mine sites. Build-up initiation occurs in December. When the ice thickness is deemed adequate, crews get on the ice with light vehicles. EBA engineers are in charge of design ice thickness, so as to ensure they can meet minimum ice thickness criteria. Flooding with pumps is used to improve ice surface quality and also increases the thickness of the ice cover. The ice road is a public-private road. Permitted speeds range from 10 to 35 km/h, but can go up to 60 km/h on expressways. Outstanding issues raised by JVMC include means of extending the season, how to mitigate the effects of blow-outs, and what is the role of load-induced crack accumulation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".