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Record W4365393282 · doi:10.7202/1098170ar

Les enregistrements stratigraphique et paléontologique ordoviciens et siluriens d’Anticosti comme valeur universelle exceptionnelle

2023· article· fr· W4365393282 on OpenAlexvenueaboutno aff
André Desrochers

Bibliographic record

VenueLe Naturaliste canadien · 2023
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Les démarches menées par la Municipalité de L’Île-d’Anticosti et ses nombreux partenaires auprès de l’UNESCO pour son inscription sur la Liste des sites du patrimoine mondial constituent une occasion de protéger, de conserver et de mettre en valeur son patrimoine naturel. Cette candidature se distingue en raison du potentiel de valeur universelle exceptionnelle (VUE) en lien avec sa géologie. Anticosti constitue le meilleur laboratoire naturel au monde pour l’étude des fossiles et des strates sédimentaires issus de la première extinction de masse du vivant, à la fin de l’Ordovicien. L’abondance, la diversité et l’état de conservation des fossiles sont remarquables et permettent un travail scientifique de classe mondiale. Les limites du bien proposé sont clairement définies et comprennent les strates fossilifères exposées le long du littoral maritime et des rivières Vauréal et Jupiter. À l’intérieur de ces limites, les enregistrements stratigraphique et paléontologique contiennent tous les attributs nécessaires à l’expression intégrale de sa VUE. Le bien proposé et sa zone tampon jouissent de rigoureuses mesures législatives de protection à long terme, car ils se trouvent dans un réseau d’aires protégées de tenure publique géré par le gouvernement provincial (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)0.002
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 score0.850
Threshold uncertainty score0.298

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.101
GPT teacher head0.294
Teacher spread0.193 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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