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Record W2910708452 · doi:10.4095/211915

Past environmental change recorded in dune fields

2000· report· en· W2910708452 on OpenAlexaff
Yves Michaud, Christian Bégin

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicAeolian processes and effects
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGeographyEnvironmental changePhysical geographyEnvironmental scienceGeologyCartographyClimate changeOceanography

Abstract

fetched live from OpenAlex

Sand dunes are excellent markers of past eolian activity and paleoenvironmental conditions. In the Mackenzie valley, sand dunes mainly occur in the vicinity of Fort Simpson, in the region of Tulita to Fort Good Hope, and on the northern tip of Tuktoyaktuk Peninsula. The occurrence of both active and stabilized dunes illustrates that paleoenvironmental conditions controlling their development must have changed at least locally during the Holocene. Two generations of dune fields are recognized: old dune fields that were formed during the Late Wisconsinian, and younger dune fields that have been episodically or continuously active in the Holocene. Comparison between dunes morphology, composition, orientation, and age with winddirection and temperature-moisture records revealed that caution must be exercised in placing a climatic interpretation upon eolian phenomena at regional scale. In many locations, eolian activity may be triggered by ecological and geomorphic factors as well as climatic change.

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: Observational
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.033
GPT teacher head0.227
Teacher spread0.194 · 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
GenreOther

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

Citations3
Published2000
Admission routes1
Has abstractyes

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