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Record W1539986305 · doi:10.7202/010333ar

Observations géomorphologiques sur les méga-blocs du secteur sud-est de la batture argileuse de la baie à l'Orignal, au parc du Bic, dans le Bas-Saint-Laurent (Québec)

2005· article· fr· W1539986305 on OpenAlexaffvenueabout
Jean‐Claude Dionne

Bibliographic record

VenueGéographie physique et Quaternaire · 2005
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsUniversité LavalCenter for Northern Studies
Fundersnot available
KeywordsHumanitiesPhysicsForestryGeographyArt

Abstract

fetched live from OpenAlex

De nombreux méga-blocs épars caractérisent la batture argileuse de la baie à l’Orignal, dans le parc du Bic, sur la rive sud de l’estuaire maritime du Saint-Laurent. Des 160 blocs mesurés, 46,3 % sont des erratiques provenant du Bouclier laurentidien sur la côte nord et 53,7 % des éléments appalachiens provenant, pour la majorité, des crêtes rocheuses en bordure de la côte sud. Sur tous les blocs mesurés, la longueur (axe a) excédait 100 cm et le poids du plus petit (un précambrien), une tonne, alors que le plus gros (un appalachien) pesait 76 tonnes et mesurait 565 x 350 x 205 cm. Situés en surface, la majorité des méga-blocs sont susceptibles d’être déplacés par les radeaux de glace. Les blocs le plus souvent déplacés sont ceux du marais à Spartine alterniflore (schorre inférieur). Des indices de déplacement ont en effet été observés sur près de 32 % des blocs ; le plus grand déplacement, observé sur un gneiss d’environ 6 tonnes, atteint 6 m.

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 score0.178
Threshold uncertainty score0.357

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 studies0.0010.000
Scholarly communication0.0010.000
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 head0.019
GPT teacher head0.223
Teacher spread0.204 · 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

Citations6
Published2005
Admission routes3
Has abstractyes

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