Supporting data for Oceanographic and biogeochemical change in the high-latitude North Atlantic during marine isotope stage 11 and the common era
Bibliographic record
Abstract
These files contain all of the new data presented in different chapters from my PhD. Datasets from each chapter with new data are separated into their own files. The Chapter 3 file contains isotopic ratio measurements of nitrogen, carbon and oxygen from foraminifer microfossils extracted from core MD99-2277 in the Nordic Seas. The Chapter 4 file contains isotopic ratio measurements of carbon and oxygen from foraminifer microfossils extracted from core IODP U1314 in the subpolar North Atlantic (Iceland Basin). The Chapter 5 file contains nitrogen isotope ratio measurements from a crustose coralline alga extracted from the Labrador Shelf. The Chapter 6 file contains carbon and nitrogen isotope ratio measurements from 2 crustose coralline alga replicate specimens extracted from western Greenland. The Chapter 6 file also contains percentages by mass of carbon and nitrogen in each of these specimens, and the corrected carbon isotope ratio values based on changes in the percentage of carbon content.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.233 | 0.112 |
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".