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Record W4416756859 · doi:10.1177/03091333251401349

Investigating the relative timing of the introduction of allochthonous silt in postglacial eolian dunes of central Alberta, Canada using a portable OSL reader

2025· article· en· W4416756859 on OpenAlexaffabout
Kennedy Munyikwa

Bibliographic record

VenueProgress in Physical Geography Earth and Environment · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsAthabasca University
Fundersnot available
KeywordsSiltAeolian processesSedimentOptically stimulated luminescenceSedimentary depositional environmentSorting

Abstract

fetched live from OpenAlex

The porous nature of eolian dune sediments enables post-depositional silt and clay to be added to the dune profile with an open-ended timeline. The allochthonous silt results in depositional age-heterogeneity between sand and silt which could encumber investigations that employ portable optically stimulated luminescence (OSL) readers to construct luminescence profiles using unprocessed bulk samples. To establish an approach for ascertaining the relative timing of the introduction of silt, this study used a portable OSL reader to assess the level of allochthonous silt in the upper parts of ca. 15 ka old postglacial eolian dunes in central Alberta, Canada. Four dune profiles were sampled using an auger at 10 cm intervals to a depth of 300 cm. Each sample was sieved into sand and silt with clay fractions (>0.063 mm and <0.063 mm) and then measured with IRSL and post-IR blue OSL using a portable OSL reader. Signals of the bulk samples were also measured for comparison. Results showed that the difference in signal intensity between the bulk samples, sand, and silt with clay fractions was insignificant, suggesting no substantial allochthonous silt was introduced into the area during the Holocene. An alternative source for the silt could be in-situ frost weathering of quartz sand in dune sediment as confirmed by grain surface microtextures from scanning electron microscopy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.098
Threshold uncertainty score0.883

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.214
Teacher spread0.205 · 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 teacher head, 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
Published2025
Admission routes2
Has abstractyes

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