R/V Coriolis II expedition TCA-MEOPAR – COR2025 HOLOCENE SAGUENAY
Bibliographic record
Abstract
This cruise report describes the R/V Coriolis II expedition TCA-MEOPAR – COR2025 HOLOCENE SAGUENAY. The mission is part of the TCA cluster 1.1. UncertainSea, workpackage Land-to-Sea, which aims to investigate land-to-ocean matter fluxes in various fjords along a latitudinal transect from the Saguenay Fjord, Québec, to Croker Bay, Devon Island, Canada throughout the Holocene. This cruise was dedicated to sample sediment cores from the head of the Saguenay, at the mouth of Baie Des Ha! Ha!, and in the central upper fjord near Grosse-Ile. Gravity coring was performed to retrieve long sedimentary sequences with sufficient resolution to capture natural climatic, sedimentological, and depositional changes. Parallel cores from each sampling site were obtained to allow analysis of a multitude of non-destructive and destructive proxies. In addition to gravity coring, surface samples from within and outside the fjord were obtained by multicorer (to sample the water-sediment interface, including the fluffy layer, and uppermost sediment samples) and boxcorer (for 3D imaging of the uppermost sediment).
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.014 |
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".