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Record W1567921188 · doi:10.7202/032479ar

Les formes d’effondrement et le mode de déglaciation de la région du lac Qingaluk, Territoires-du-Nord-Ouest, Canada

2007· article· fr· W1567921188 on OpenAlexvenueaboutno aff
Denis A. St-Onge, Marie‐Anne Geurts

Bibliographic record

VenueGéographie physique et Quaternaire · 2007
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Les formes et les sédiments glaciaires de la vallée de la rivière Qingaluk illustrent la complexité du recul du front du glacier du Keewatin, au Wisconsinien supérieur, à l'ouest de la vallée de la rivière Coppermine dans les Territoires-du-Nord-Ouest. Dans cette région à relief modéré (300 m), des retraits mineurs du front glaciaire (2-5 km) ont provoqué des changements importants dans le sens d'écoulement des eaux de fonte et ont modifié les environnements sédimentaires dans la vallée. La sédimentation rapide en bordure du front glaciaire fut responsable de l'ensevelissement de blocs de glace. De nombreuses formes d'affaissement ont résulté de la fonte de ceux-ci après que l'activité des eaux fluvio-glaciaires eut cessé. Ces formes, de même que les crêtes morainiques, peuvent être utilisées pour déterminer des positions successives du front glaciaire. Quatre de ces positions, associées à un haut niveau du lac glaciaire Coppermine (phase Kamut), ont été définies dans la région du lac Qingaluk. Ces positions frontales permettent d'expliquer des inversions du sens de l'écoulement des rivières et du relief dans les dépôts fluvio-glaciaires, ainsi que des étagements de terrasses dans l'exutoire de la phase Kamut du lac glaciaire Coppermine.

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 score0.102
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.250
Teacher spread0.235 · 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
Published2007
Admission routes2
Has abstractyes

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