Bibliographic record
Abstract
Le destin aura voulu que le premier paysage sublime grec qu’a vu Byron depuis la terre ferme soit également le dernier sur lequel ont reposé ses yeux avant sa mort : les paysages terrestres et maritimes de la ville de Messolonghi, un mélange de montagnes rocailleuses et des plateaux marécageux surmontés d’un ciel vaste aux lumières changeantes reflété dans les eaux calmes d’un lagon et les eaux plus troubles du golfe de Patras. Malgré d’importants changements apportés à la ville elle-même au cours du dernier siècle, le paysage terrestre et les lagunes de Messolonghi restent à peu près inchangés. Suivant une brève présentation sur l’histoire et la géographie de la région, nous regarderons un court-métrage sur le sublime paysage d’Étolie-Akarnanie qui entourait Messolonghi à l’époque de Byron et qui, en grande partie intacte, l’entoure encore.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".