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Record W1719489650 · doi:10.7202/033116ar

Chronologie de la déglaciation en Gaspésie : nouvelles données et implications

2007· article· fr· W1719489650 on OpenAlexvenueno aff
Pierre J. H. Richard, J J Veillette, Alayn C. Larouche, Bernard Hétu, James T. Gray, Pierre Gangloff

Bibliographic record

VenueGéographie physique et Quaternaire · 2007
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsGlacial periodHumanitiesYounger DryasGeologyArtGeomorphology

Abstract

fetched live from OpenAlex

De nouvelles datations à l'accélérateur de particules des premiers macrorestes végétaux terricoles accumulés dans les sédiments postglaciaires d'une douzaine de lacs répartis en Gaspésie et au Bas-Saint-Laurent bouleversent entièrement la chronologie générale de la déglaciation de ces régions. Ces données indiquent que la Gaspésie est restée sous l'emprise des glaces jusque vers 10 500-10 000 ans BP sauf en bordure de la péninsule, notamment le long de la côte septentrionale où la déglaciation de l'arrière-pays date d'au moins 12 500 ans BP par endroits. La déglaciation finale se serait produite vers 9500-9000 ans BP dans la région de Murdochville. La chronologie de déglaciation qui se dégage de ces données s'accorde maintenant avec celle des provinces maritimes, notamment pour ce qui est de l'existence de masses glaciaires actives durant l'épisode du Dryas récent. Les conséquences sont importantes, tant pour la modélisation du retrait des glaces, la colonisation végétale et l'accessibilité du territoire aux populations humaines que pour les reconstitutions climatiques.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.881
Threshold uncertainty score0.237

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.026
GPT teacher head0.306
Teacher spread0.280 · 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

Citations36
Published2007
Admission routes1
Has abstractyes

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