Bibliographic record
Abstract
A plague of cats The Newscripts gang was inspired to craft this verse (with apologies to poet Samuel Taylor Coleridge) after reading about how phones shaped like the lasagna-loving cartoon feline Garfield had, for decades, littered the Iroise coast of Brittany, France. Until recently, the source of hundreds of novelty Garfield phones had remained a mystery. Since the 1980s, the cartoon house cat has washed up in various states of repair, and activists in Brittany couldn’t make heads or tails of the situation. Finally, Franceinfo’s #AlertePollution campaign caught the attention of a local resident, who led a group, including volunteers from the antilittering organization Ar Viltansoù, to a grotto he remembered from his youth. It contained the remains of a metal shipping container and bits of the phones. The container had likely been lost from a ship during a storm and had washed into the cave, inaccessible except for a
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.022 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 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".