Cold‐water coral mounds: Evidence for early Holocene climate change and slope failure
Bibliographic record
Abstract
Cold‐water coral mounds occur in discrete clustered populations over a broad region from the glaciated Norwegian continental margins to the non‐glaciated margins of Iberia and northwest Africa. Here we report on an interesting correlation between the Holocene growth of a mound population west of Ireland and early Holocene paleoclimatic variations in the North Atlantic region, notably the well documented ‘8,200 yr cold event’. An age structure for the population is calculated from growth rate estimates for the coral framework constructor Lophelia pertusa and a previously formulated population growth model. The model growth curve for the Holocene period fits the observed data well, except for a significant deflection in the data trend at about 8,500 calendar years ago. This corresponds to the time that the glacial lakes Agassiz and Ojibway, which were once dammed by a remnant of the Laurentide ice sheet, drained catastrophically into the Labrador Sea and triggered the ‘8,200 yr event’. This cold period may also have played a role in triggering major submarine landslides, such as the Storegga Slide.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".