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Record W4378877768 · doi:10.7202/1100081ar

Premier inventaire de l’odonatofaune du parc national du Bic et liste annotée des espèces de la région administrative du Bas-Saint-Laurent, Québec (Insecta : Odonata)

2023· article· fr· W4378877768 on OpenAlexaffvenueabout
Alain Mochon, Michel Savard

Bibliographic record

VenueLe Naturaliste canadien · 2023
Typearticle
Languagefr
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsCentre Intégré de Santé et de Services Sociaux du Bas-Saint-LaurentBibliothèque et Archives nationales du QuébecFédération des Maisons D'Hébergement pour Femmes
Fundersnot available
KeywordsHumanitiesGeographyForestryArt

Abstract

fetched live from OpenAlex

Un premier inventaire des libellules dans le parc national du Bic en 2021 et en 2022 rapporte une richesse de 50 espèces et précise la composition de l’odonatofaune de 6 biotopes : le cours torrentueux d’une rivière, une mare nouvellement créée par la restauration d’une ancienne tourbière, un lac de kettle peu profond, un marais salé, un étang de castors et un ensemble de 4 petits étangs forestiers. La collecte exceptionnelle d’une exuvie de la gracieuse (Libellula pulchella) dans le parc constitue une première preuve que l’espèce peut compléter son cycle de développement à cette latitude. La mise à jour de la liste des espèces d’odonates de la région administrative du Bas-Saint-Laurent ajoute 38 espèces à la compilation précédente, portant le total à 81 espèces. Le réchauffement climatique semble avoir favorisé l’expansion vers le nord de l’aeschne cintrée (Aeshna constricta), de la leucorrhine mouchetée (Leucorrhinia intacta) et de la lydienne (Plathemis lydia) au Québec.

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)0.001
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 score0.039
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0050.006
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.036
GPT teacher head0.286
Teacher spread0.250 · 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

Citations2
Published2023
Admission routes3
Has abstractyes

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Same venueLe Naturaliste canadienSame topicSpecies Distribution and Climate ChangeFrench-language works237,207