Bibliographic record
Abstract
During a study of more than ten years in tectonically active regions of the eastern Mediterranean coast notably in Greece, Turkey and Syria as well as in so-called stable areas of the western Mediterranean area, we have made a wide use of biological sea-level indicators (BioS.L.I.) as markers of past sea-levels. These are mainly coralline algae and invertebrates whose skeletons are well preserved as in the case of a rapid uplift of the coast, but much less so in the case of slow elevation or of submersion, whatever the velocity of the displacement. BioS.L.I. include reef-building species as well as solitary forms and boring species. Some BioS.L.I. are best adapted to the detection of slow relative movements (tectonic or eustatic) whereas others allow an accurate reconstitution of very rapid, co-seismic elevations or (more rarely) submergences. Examples put into evidence the ability of BioS.L.I. for the reconstitution of rapid and complex vertical relative movements as well as for simple monitoring of sea-level on coasts subjected to severe seismic hazard. A specific approach allows a comparative study of the possibilities offered by the principal species which may be used as BioS.L.I. in the Mediterranean area.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.991 | 0.992 |
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".