Travelling more over time: making an in-situ exhibit at the Montréal-du-Gers palaeontological site (France).
Bibliographic record
Abstract
There are more ancient remains in palaeontological sites than in archaeological ones, and the structures of habitat or the traces of human activity are absent. In the Miocene dig of Montréal-du-Gers, remains of mammals, gastropods and pollen have been found, and they have make it possible for scientists to decode the past of the region. Among the fossils extracted, in a good state of conservation, there are four new species. For all these reasons, this site has a high heritage value. Now, it is time to bring this knowledge closer to the public, as well as its process of creation. Therefore, two plannings have been articulated; one for the conditioning and one for interpretive work that will guide the action of the Natural History Museum of Toulouse (Toulouse City Council) about heritage interpretation. The objective of the plan is to develop a geoturism experience, using thematic interpretation and defining the interpretive resources and services to implement in the site. This plan includes a prevision of infrastructures, equipments and media to transmit the message to the visitor in an organized and coherent way.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".