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Record W1757237115 · doi:10.7202/033107ar

L’enneigement et la dynamique du pergélisol : l’exemple du détroit de Manitounuk, Québec nordique

2007· article· fr· W1757237115 on OpenAlexvenueaboutno aff
Yann Roche, Michel Allard

Bibliographic record

VenueGéographie physique et Quaternaire · 2007
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhysicsGeologyArt

Abstract

fetched live from OpenAlex

Le régime nival d'un plateau de pergélisol situé le long du rivage du détroit de Manitounuk, au Québec subarctique, a été étudié en détail pendant plusieurs hivers consécutifs. Ce régime nival dépend surtout du régime éolien, lequel détermine le patron d'accumulation de la neige en conjonction avec les conditions de surface, notamment le relief et le couvert végétal. Un modèle de potentiel d'enneigement, établi en fonction des pentes, des orientations et de la forme des versants, ainsi que du couvert végétal, est proposé. Ce modèle, entériné à partir des valeurs observées, a permis de faire ressortir le lien entre la végétation arbustive et le régime éolien et leur effet sur les variations locales du couvert nival. On peut donc envisager de produire, à partir d'éléments tels que les données sur les vents, la cartographie du couvert végétal et la modélisation de la topographie, un modèle de prévision de l'enneigement dans les régions subarctiques devenues instables en raison de l'équilibre thermique précaire du pergélisol et de la dynamique des populations végétales.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.017
GPT teacher head0.253
Teacher spread0.236 · 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

Citations14
Published2007
Admission routes2
Has abstractyes

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Same venueGéographie physique et QuaternaireSame topicClimate change and permafrostFrench-language works237,207