Reconstitutions hydroclimatiques basées sur les séries dendroisotopiques
Bibliographic record
Abstract
The close relationship between stable carbon and oxygen isotopes in growth rings of black spruce trees and regional climatic conditions allows us to reconstruct over the last two centuries, two hydroclimatic parameters providing the best statistical correlation with isotopic values, namely the maximum summer temperature (June-August Tmax) and the summer discharge (July to November) of major regional rivers. The reconstructed 200 years series shows contrasting conditions marked by alternating climatic ambiances typically associated with Quebec boreal summers, where warm and dry conditions alternate with cold and wet periods. The series also documents specific climate events such as the cooling that followed the Tambora eruption in 1815. The reconstructed hydroclimatic series were then validated by comparing them to long datasets measured at larger scale, and to other series reconstructed from independent proxies. Results from this analysis suggest that mid and long-term hydroclimatic variations of the central part of the Quebec-Labrador peninsula, as reconstructed from dendroisotopes, were not only controlled by northern Québec climate systems, but also by major weather systems controlling the level of rivers of northeastern North America.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".