Sclérochronologie et géochimie des bivalves de l'Atlantique Nord-Ouest : exploration de traceurs environnementaux des changements globaux
Bibliographic record
Abstract
Global changes resulting from anthropogenic activities have important repercussions on coastal regions, particularly in the Northwest Atlantic and the St. Lawrence system (Quebec, Canada). The development of analysis and recording tools to reconstruct pre-instrumental environmental variations is necessary to understand these changes. This PhD work uses sclerochronology and sclerochemistry to explore the ability of three species of subarctic bivalve molluscs (Arctica islandica, Cyrtodaria siliqua et Mactromeris polynyma) to archive variations in their environment in physical (growth) and geochemical (trace elements and isotopes) form, and to develop robust and reliable environmental proxies. In particular, the species studied have made it possible to trace the phytoplankton dynamics and climate of the Northwestern Atlantic. This thesis demonstrates the potential of the species as high-frequency biogenic and Eulerian archives of variations in the coastal environment of the Lower St. Lawrence Estuary and the Northwestern Atlantic, and underlines the interest of favouring a multi-archive and multi-proxy approach.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".