Bibliographic record
Abstract
The only representative of the extinct North American megafauna known from Québec is an American mastodon from Pointe de Chambord, Lac-Saint-Jean. Marine mammals have played a prominent part in our knowledge of the Quaternary vertebrates of Québec since Per Kalm was informed of a whale skeleton found inland from the St. Lawrence River about 1749. Five species of whales particularly adapted to inshore conditions have been reported from Late-glacial deposits of Champlain Sea age. The bones represent mainly white whales, but also narwhals, harbour porpoise, humpback, common finback and bowhead whales. Seals (ringed, harp, bearded and harbour) have also been discovered, and walrus remains are known from Sainte-Julienne-de-Montcalm and Saint-Nicolas. Sandpits at Saint-Nicolas (bottom-dwelling fishes, seabirds, ringed seal and white whale) and Saint-Césaire (fish, eider duck, ringed seal and white whale) have yielded important Champlain Sea vertebrate fossils, as well as paleoenvironmental information. Many well-preserved vertebrate remains have been found in calcareous nodules from Eardley and Breckenridge in the Gatineau area. Perhaps cave faunas will become increasingly important in sorting out the Quaternary vertebrate faunal sequence in Québec. The finds from caves near Saint-Elzéar and La Rédemption in Gaspésie, as well as Mine and Laflèche caves in the Gatineau region have already yielded fascinating insights. A list of radiocarbon dates on Quaternary vertebrates from Québec is provided.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.012 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 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".