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Record W7011035414

La plate-forme de Québec, Chaudière-Saint-Nicholas : étude de géomorphologie structurale

2020· other· fr· W7011035414 on OpenAlexaboutno aff

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2020
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPneumaticsAgrégationMetal coating
DOInot available

Abstract

fetched live from OpenAlex

La plate-forme de Québec, sur la rive droite du Saint-Laurent, en face de la ville de Québec, adopte un profil en "M" aplati conforme à la disposition d'axes de déformations tectodynamiques. La vallée de la Chaudière emprunte un axe synforme. En plan, les collines-barres se disposent en arcs de cercle. Cet agencement est analogue à celui des couches géologiques, cependant, la morphologie des saillies s'éloigne du relief de type appalachien et se rapproche plus d'un relief mis en place par tectodynamisme. La disposition des collines-barres est conforme au réseau de cassures (fissures et laminations) en quadrillage. Le tectodynamisme se fait sentir à toutes les échelles. Les fissures et les laminations préparent le modelé ä l'érosion. Le relief actuel de la plate-forme de Québec serait polygénique, mais les agents s'y sont peu manifestés. Le modelé tectodynamique initial, légèrement caricaturé, est bien conservé. L'hydrographie de la région de Québec s'ajuste parfaitement à la disposition des axes de déformations. L'interprétation tectodynamique vérifie les zones d'occupation humaine propices à différentes utilisations et permet de détecter des zones adéquates pour des demandes futures.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.001

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 head0.010
GPT teacher head0.195
Teacher spread0.185 · 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
Published2020
Admission routes1
Has abstractyes

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