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Record W7006520843

Travelling more over time : making an in-situ exhibit at the Montréal-du-Gers palaeontological site (France

2021· article· en· W7006520843 on OpenAlexaboutno aff

Bibliographic record

VenueRECERCAT (Consorci de Serveis Universitaris de Catalunya) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsFeature (linguistics)Field (mathematics)Process (computing)Natural (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.397
Threshold uncertainty score0.789

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.003
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0140.001

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.

Opus teacher head0.016
GPT teacher head0.258
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractno

Explore more

Same venueRECERCAT (Consorci de Serveis Universitaris de Catalunya)→Same topicPleistocene-Era Hominins and Archaeology→French-language works237,207→