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Record W1607389453 · doi:10.7202/032497ar

Les lacs glaciaires de l’île de Banks, Arctique canadien

2007· article· fr· W1607389453 on OpenAlexvenueaboutno aff
Jean‐Serge Vincent

Bibliographic record

VenueGéographie physique et Quaternaire · 2007
Typearticle
Languagefr
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La cartographie des formations superficielles de l'île de Banks a permis de reconnaître l'existence de douze lacs glaciaires. Ceux-ci sont associés à l'un ou l'autre des trois glaciers continentaux qui ont atteint leur limite d'extension sur l'île au cours du Quaternaire. Les lacs ont été piégés dans des régions non englacées sises à la bordure des inlandsis ou se sont étendus sur des régions nouvellement libérées des glaces. Les lacs Egina et Storkerson ont inondé des surfaces au nord-ouest lors du retrait des glaces au cours de la plus ancienne Glaciation de Banks. Les lacs Parker et Dissection ont submergé des régions non englacées du plateau du nord-est lors de la Glaciation de Thomsen, antérieure au dernier interglaciaire. Au cours du Stade de M'Clure de la Glaciation d'Amundsen (Wisconsinien inférieur), huit lacs ont été piégés dans des vallées en bordure des lobes de Thesiger, de Prince of Wales et de Prince Alfred qui étaient ancrés dans les bras de mer entourant l'île. Les lacs glaciaires ont fourni, en se basant sur leur localisation et sur celle de leurs exutoires, des renseignements sur le mode de déglaciation et sur la direction du retrait des glaces. Dans le cas des lacs associés au Stade de M'Clure, les liens entre ceux-ci et les divers lobes glaciaires ont permis de démontrer qu'il y avait une correspondance d'âge entre les lobes de Thesiger, de Prince of Wales et de Prince Alfred.

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 score0.366
Threshold uncertainty score0.737

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.015
GPT teacher head0.292
Teacher spread0.277 · 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
Published2007
Admission routes2
Has abstractyes

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