Bibliographic record
Abstract
**"Paix et Liberté ne sont jamais acquises"**  This commemorative stela, located in [Santec](https://goo.gl/maps/4e7ppJfuPiQ2) (France), was raised in honor of the 128 sailors who lost ther life aboard the [HMCS Athabaskan](https://goo.gl/Z6CzRc) in the night of April 19th, 1944. The Athabaskan was a canadian destroyer which was sunk by the [German torpedo boat T24](https://goo.gl/5ESxwy) during an interception mission in the English Channel, and now lies at 90m depth. If you are curious about the fate of this ship, you'll find more interesting information [here](https://goo.gl/y6TynL) and [there](https://goo.gl/6P1D1v). The scan was created from 96 pictures taken with a Canon Eos-1100D, processed with Colmap and OpenMVS, and re-textured and optimized to a lower resolution (~15k triangles) with Blender and [BakeMyScan](http://bakemyscan.org).  Source: Objaverse 1.0 / Sketchfab
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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.014 | 0.015 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.284 | 0.260 |
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".