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Record W1528378563 · doi:10.7202/1000383ar

Les faunes des mers post-glaciaires du Québec : quelques considérations paléoécologiques

2011· article· fr· W1528378563 on OpenAlexaffvenueabout
Claude Hillaire‐Marcel

Bibliographic record

VenueGéographie physique et Quaternaire · 2011
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsForestryHumanitiesGeographyGeologyArt

Abstract

fetched live from OpenAlex

Une étude paléoécologique des faunes fossiles des mers postglaciaires du Québec, en particulier des Mollusques, a permis de regrouper les espèces en communautés types. Celles-ci définissent une zonation littorale, avec des nuances des bassins septentrionaux aux bassins méridionaux souvent plus saumâtres. L’épibenthos sessile des rudites et aréno-rudites se caractérise par une communauté intertidale àMytilus edulis, suivie d'une communauté àHiatella arcticasubdivisée en deux sous-communautés. Dans les faciès plus fins (arénites et lutites), l’endoben-thos et l’épibenthos vagile regroupent les communautés de faible profondeur (IT-5 m) àMya arenariaet àMacoma balthica, suivies de la communauté àMacoma calcareasubdivisée en trois sous-communautés. Un statut particulier peut être conféré à la communauté àPortlandia arctica, surtout caractéristique des faciès glacio-marins argilo-silteux. Ces communautés se succédèrent souvent, dans un site déterminé, en fonction de la diminution de profondeur des bassins, liée au rajustement géoïdal post-glaciaire. Elles ne reflètent donc pas une évolution climatique générale, mais simplement l’évolution hydrologique accompagnant l’exondation de chacun des bassins. Exceptionnellement, on relève, au cours de l’Holocène, des incursions septentrionales d’espèces relativement thermophiles. Quoique plus tardif qu’aux basses latitudes, l’optimum climatique semble donc s’être marqué dans les milieux arctiques.

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)0.001
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 score0.021
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.049
GPT teacher head0.249
Teacher spread0.200 · 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

Citations34
Published2011
Admission routes3
Has abstractyes

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