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Record W2151244310 · doi:10.7202/032501ar

Développement des lacs proglaciaires et déglaciation des hauts bassins des Rivières au Saumon et Chaudière, sud du Québec

2007· article· fr· W2151244310 on OpenAlexvenueaboutno aff
Armand LaRocque, Q. J. H. Gwyn, André Poulin

Bibliographic record

VenueGéographie physique et Quaternaire · 2007
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGeologyMoraineArtPhysicsForestryGeographyGeomorphologyGlacial period

Abstract

fetched live from OpenAlex

Les études antérieures sur le Quaternaire du sud du Québec mettent en évidence un modèle général de déglaciation basé sur la position des moraines principales. Notre étude, axée sur une logique des formes et des dépôts, détaille l'évolution de la récession glaciaire et le développement des lacs retenus par le front de l'inlandsis, dans une sous-région de l'Estrie. Le drainage proglaciaire a évolué en quatre systèmes principaux : le système des « étangs Frontaliers » (1), composés de petits lacs qui se sont d'abord vidés de façon diffuse vers la Nouvelle-Angleterre, avant que le drainage ne se concentre vers le fleuve Kennebec (2), puis vers le fleuve Connecticut (3), pour finalement se faire vers le lac proglaciaire Memphrémagog (4). L'évolution du retrait glaciaire commence par l'apparition de nunataks, résultant de l'amincissement de l'inlandsis. L'allure du front reflète dès lors la configuration du relief sous-jacent qui influence directement le mode de fusion de la glace. Le retrait de la glace est relativement plus rapide dans les vallées orientées dans le sens de la déglaciation et il existe une corrélation inverse entre la pente du relief et la vitesse de recul de l'inlandsis.

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 score0.036
Threshold uncertainty score0.113

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 studies0.0020.001
Scholarly communication0.0020.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.289
Teacher spread0.254 · 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

Citations9
Published2007
Admission routes2
Has abstractyes

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