Optical Dating of Eolian Dune Sand from the Canadian Prairies*
Bibliographic record
Abstract
Optical dating is a well-established method that is used to determine the time elapsed since quartz or feldspar grains were last exposed to sunlight, which usually dates the time elapsed since their burial in a sedimentary deposit. Only a few seconds of direct sunlight are needed to reset the “mineral clock”, making the method ideal for dating the formation of eolian landforms. In this paper we describe how we use violet luminescence that is emitted in response to near-infrared excitation of sand-sized K-feldspar grains to date the time of formation of eolian dunes on the Canadian prairies. Using the multiple-aliquot with thermal transfer correction method, together with a test for sufficient sunlight exposure, and a correction for anomalous fading, we are able to produce accurate optical ages ranging from 150 years to more than 11 ka with precision usually better than 10 % at 2σ. Ages are given for dunes in the Dundurn and Elbow sand hills of south-central Saskatchewan, the climatic significance of which is provided in a paper also in the present volume. Knowledge of when the dunes were stable, and when they were not, is used to help understand the nature and timing of Holocene climate change in the area.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".