Bibliographic record
Abstract
L'article retrace les principaux événements et les motivations qui ont conduit à la construction d'un pipeline reliant Whitehorse et les puits Norman Wells. Des considérations militaires défendues par les Etats-Unis expliquent que l'on ait choisi pour le projet Canol, un chemin parallèle à la grande route de l'Alaska reliant une série de pistes d'atterrissage d'Edmonton à Whitehorse. Lorsque le Canada fut mis au courant par le Haut-Commissaire britannique au Canada des intentions semi-voilées de l'armée américaine de construire Canol en prévision de l'après-guerre, on posa immédiatement des gestes pour affirmer la souveraineté canadienne dans l'Ouest. C'est finalement un comité d'enquête spécial américain sur le programme de défense qui força les directeurs du projet à réouvrir les négociations. Le Canada maintînt des positions fermes et ne concéda aux Etats-Unis que le droit d'acheter des réserves de pétrole spécifiques. Le projet fut finalement liquidé à la fin de la guerre à la satisfaction des intérêts canadiens.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.047 | 0.015 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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".