Longues séries dendrochronologiques établies à partir de troncs subfossiles
Bibliographic record
Abstract
Long tree-ring chronologies are often used in paleoecological and paleoclimatic reconstructions. However, in some regions of the World, such as Eastern North America, these chronologies are scarce. One objective of the ARCHIVES project was to develop a network of long tree-ring chronologies using black spruce subfossil logs collected in six lakes of the Quebec boreal forest. A large number of the sampled logs (1832 specimens) were successfully crossdated, which allowed the development of six long tree-ring chronologies spanning at least 1238 years. At the local scale, these chronologies show the influence of past wildfires on subfossil log recruitment in the lakes and on riparian forest growth. Furthermore, these chronologies are strongly correlated with observed July-August mean temperatures during the last century. These local chronologies were thus used to reconstruct past summer temperatures in the region. A well-expressed Medieval Warm Period (around AD 910-1250), which was warmer than recent conditions, was followed by the Little Ice Age (around AD 1300-1900) and by recent warming. The coldest decades of the last millennium, corresponding to the lowest riparian forest growth, were observed after the strong Kuwae and Tambora volcanic eruptions in AD 1452 and 1815, respectively.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.011 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".