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Record W2896252111 · doi:10.25965/asl.848

La réserve naturelle régionale des Sauvages

2018· article· fr· W2896252111 on OpenAlexaff
Véronique LUCAIN

Bibliographic record

VenueAnnales Scientifiques du Limousin · 2018
Typearticle
Languagefr
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsCentre de Santé et de Services Sociaux de la Montagne
Fundersnot available
KeywordsHumanitiesForestryGeographyArt

Abstract

fetched live from OpenAlex

Le Domaine des Sauvages est pour l’essentiel situé sur la commune de Saint Sylvestre (Haute-Vienne, Nouvelle Aquitaine). C’est une propriété privée qui couvre plus de 80 hectares. Ce site a été classé réserve naturelle régionale en novembre 2015, avec pour organisme gestionnaire désigné par la région, le Conservatoire d’espaces naturels (CEN) du Limousin. Les milieux naturels à fort enjeu de conservation sont les landes à bruyères, les prairies, les milieux tourbeux, les vieilles forêts de hêtre et trois étangs datant du moyen-âge. Depuis 2003, le conservatoire accompagne les propriétaires dans leur volonté de préserver le patrimoine du site, volonté qui a aboutie au classement en réserve naturelle régionale en 2015.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.006
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0180.011

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 head0.022
GPT teacher head0.249
Teacher spread0.226 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2018
Admission routes1
Has abstractyes

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