A scalped peatscape on Nólsoy, Faroe Islands / Uppskornar torvheiðar í Nólsoy
Bibliographic record
Abstract
ÚrtakØkið sunnan fyri bøgarðin í Nólsoy, „Uppi í Heiðunum“, er uppskorið, har er eingin mógvur eftir og lítið og einki jørðildi. Slík uppskorin heiðalendi eru væl kend í skotsku oyggjunum og vísa á, at tørvurin á mógvi var so stórur í hesum oyggjunum, at heiðarnar vórðu uppskornar og gjørdist oyður. Í greinini verða hesi viðurskifti viðgjørd saman við fornfrøðiligu leivdunum, sum síggjast í økinum, møguliga komin undan í sambandi við, at torvheiðarnar vórðu uppskornar. AbstractAn area of land south of the village of Nólsoy, Faroe Islands, has been stripped of its peat and turf capping. Such ‘scalping’ of the land surface is a recognised feature of peatland landscapes in the Northern Isles of Scotland and reflects the need for past human populations to obtain peat, even if population pressures result in the total loss of a valuable resource. Such aspects are discussed together with a consideration of the archaeological features which have been revealed from beneath the peat by scalping on Nólsoy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".