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Record W83369065 · doi:10.3406/revec.2002.2399

Le Pin laricio (Pinus nigra laricio) est-il une espèce clé pour la Sittelle corse (Sitta whiteheadi) ?

2002· article· en· W83369065 on OpenAlexaff
Jean‐Claude Thibault, Jean‐François Seguin, Pascal Villard, Roger Prodon

Bibliographic record

VenueRevue d Écologie (La Terre et La Vie) · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsCentre de Santé et de Services Sociaux de la Montagne
Fundersnot available
KeywordsCorsicanPinus pinasterMediterranean climateGeographyForestryEcologyBiologyArchaeology

Abstract

fetched live from OpenAlex

Endemic to Corsica Island, in the Western Mediterranean, the Corsican Nuthatch Sitta whiteheadi inhabits mainly the stands of Corsican Pine Pinus nigra subsp. laricio, although it is also present in other coniferous forests, e.g. the Maritime Pine P. pinaster which also covers large areas. The present study points out the major role played by Corsican Pine forests which hold higher densities of nuthatches than Maritime Pine forests. Seed shells seem to be a key factor. The seeds of Corsican Pine can be easily open by nuthatch’s bill which cannot break those of Maritime Pine. Finally, we examine the relationships between nuthatches and Corsican forests in an historical perspective. The nuthatch has probably been on Corsica since at least the middle of the Pleistocene. Since this time, important climatic changes have occurred in the Mediterranean, producing deep changes in the composition and distribution of vegetation. Throughout this period, the Corsican Nuthatch probably depended on Corsican Pine forest for its survival

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)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.255
Teacher spread0.229 · 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
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

Citations6
Published2002
Admission routes1
Has abstractyes

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