MétaCan
Menu
← Back to cohort
Record W6905719002 · doi:10.15468/3x6w5b

Mission LAVIA 2024 : traveling study of West African bats

2025· dataset· en· W6905719002 on OpenAlexaboutno aff

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsFrenchNaturalismField researchWork (physics)MetisMovie theaterTraditional knowledgeEthnography

Abstract

fetched live from OpenAlex

The Mission LAVIA is an unprecedented, scientific and human itinerant expedition in West Africa, led and supported by six young French people from the Blairoudeurs Federation. The mission, planned in its field phase between May and August 2024, has as its object of study and common thread the chiroptera (bats). The entire field part of this expedition was carried out in an all-terrain vehicle from May 8 to August 2, 2024 in a round trip between Plougonvelin (29217, France) and Seredou (Guinea). Three main objectives are targeted through this operation. 1. The acquisition of scientific data (inventories by mist net captures, biometric measurements, prospecting of roosts, acoustic recordings, exchanges with locals) very largely incomplete on these bats in the many biomes, protected areas and villages that make up West Africa (Morocco, Mauritania, Senegal and Guinea) with the cooperation of NGOs and local institutions.2. The wide dissemination and popularization of knowledge relating to this group of little-known or even mystified species and the exchange of knowledge with local populations. This work is carried out by strong link with the structures of the African territory through the network of the Francophonie and youth (capacity building of protected areas, participation of locals in study methodologies, organization of university conferences and school interventions, etc.). 3. The post-mission valorization of this expedition by the production of a documentary film (produced by two graduates of the Institut Francophone de Formation au Cinema Animalier de Menigoute (IFFCAM)), an artistic edition relating this naturalist and human experience (created by a student of the Ecole Superieure des Beaux-Arts in Montpellier), a scientific report presenting the mission results and the very wide dissemination of the data collected to the scientific and public spheres (GBIF global database, park agents, chiropterologists, etc.).

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.019
GPT teacher head0.252
Teacher spread0.232 · 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 designObservational
Domainnot available
GenreDataset

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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueGlobal Biodiversity Information Facility→French-language works237,207→