Bibliographic record
Abstract
W e were very anxious to visit the Skelligs; those rocky Islands, whose fantastic shapes form such fine features in the sea-views of this neighbourhood. But although the weather is beautiful, we have been told that to land on those Islands would be impracticable, while the wind is in this quarter. The following interesting account of these curious Islands is given by a gentleman in the neighbourhood. “The first mention of the Skelligs in Irish History, occurs at the period of the landing of the sons of Milesius; when Irr, one of the brothers, who was drowned, is stated to have been buried there. The tale of their possessing the virtue of attracting all birds flying over them, has probably its origin in the fact, that they are the only rocks along this coast on which the Gannet breeds. This bird, from the extreme length of wing, and shortness of its feet, is, like some of the swallow tribe, incapable of rising from any plain surface, and therefore only builds and roosts on the verge of precipices, where it may fling itself off into the air, which it does much after the fashion that an experienced swimmer plunges from a height into the water.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.407 | 0.229 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".