Sketch map of Torngat Mountains, Northern Labrador. GLACIATION OF THE TORNGAT MOUNTAINS,
Bibliographic record
Abstract
and from the McGill-Carnegie Arctic Research Program. Transport from Goose Bay to and from the Torngats was generously provided by che British Newfoundland Corporation. Upper Kangalaksiorvik Lake, some 15 miles west of Seven Islands Bay in latitude 5P022‘N., was selected for the site of a base camp, and this was established with the aid of a Beaver aircraft on July 27. In addition, the Beaver was able to lay two food and fuel caches, one at the northeast end of Lower Komaktorvik Lake, and the other by the shore of a small lake on the Quebec side of the ‘boundary, some I5 miles west of base camp. From these three centres an area of about 600 square miles, principally within the “Central Range ” of the Torngats, was reconnoitred on foot. Despite the short and relatively stormy season, it proved possible to complete a large part ‘of the original program, although an investigation of the cirque glaciers was curtailed by the persistence throughout the summer of a considerable thickness of the 1955-56 snow cover on their surfaces. After
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.113 | 0.021 |
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".