Sea-Level Rise in Southwest Greenland as a Contributor to Viking Abandonment
Bibliographic record
Abstract
Data and code to accompany the journal publication "Sea-Level Rise in Southwest Greenland as a Contributor to Viking Abandonment" in the Proceedings of the National Academy of Sciences of the United States of America (PNAS). This dataset includes data sets, computer codes and associated scripts, necessary to reproduce results in the article: (1) the surface computational grid; (2) model Greenland Ice Sheet history in time steps of 20 years from 1000 CE to present-day; (3) code to compute the relative sea-level change at any user specified set of sites across the same time steps; (4) code to map (2) and (3) on to conventional grids (e.g., latitude-longitude; Gauss-Legendre, etc.) based on a non-linear interpolation of data on a triangular grid via a second-order scheme; (5) code to convert sea level changes into time series of past topography from which flooding geometry (i.e., shoreline migration) can be tracked; and (6) code to integrate the flood geometries in (5) to compute time series of total flood area. More details in Readme.pdf.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.021 |
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".