Mesoscale regionalisation of the western Antarctic Peninsula
Bibliographic record
Abstract
As part of the One Ocean Expedition onboard the Statsraad Lehmkuhl, scientists from Argentina, Chile, Uruguay and Norway met for 10 days to discuss the Southern Ocean Action Plan (SOAP) in the context of the southern Scotia Arc and western Antarctic Peninsula. This geographical region represents an area of strong research and commercial interests for all the participating nationalities, and key questions from the SOAP were applied through this regional lens. The physical, ecological and anthropological complexity of the region coupled with the rapid and ongoing changes driven primarily by climate change mean that a “one management strategy fits all” approach is unlikely to be appropriate. It was agreed that a more ecologically realistic regionalisation is a necessary first step in understanding the distribution of threats, their impacts and how they are likely to change over time. At the conclusion of the meeting, the group agreed that there was sufficient scientific literature and motivation to write a peer-reviewed article outlining a putative bioregionalisation of the southern Scotia Arc and western Antarctic Peninsula, and such an article could be used as a reference point for future scientific collaborations and research proposal development.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".