New constraints on the source of loess from U/Th-Pb geochronology of detrital multi-minerals
Bibliographic record
Abstract
Abstract The origin and provenance of eolian sediments such as loess can potentially reveal paleo-air circulation directions that drive temporal changes in climate. The provenance of these deposits has been mostly assessed by detrital zircon U-Pb geochronology and remains debated. Recent studies reveal that constraining sediment provenance using only detrital zircon yields a restricted view of the overall sediment sources, because zircon commonly records high-temperature tectonothermal events and thus only represents a portion of provenance lithologies. We applied a new strategy for constraining the provenance of eolian sediments from the Chinese Loess Plateau—Earth's most extensive loess deposit—by using a multi-proxy (i.e., zircon, monazite and rutile) U/Th-Pb geochronology approach. We show that while zircon U-Pb-Lu-Hf isotopic data cannot conclusively discriminate the potential sources, monazite and rutile grains display dominant U/Th-Pb age peaks in the early Paleozoic, early Mesozoic, and late Cenozoic, mirroring the orogenic episodes of the northeast Tibetan Plateau. Monazite and rutile records also reveal spatial variability in sediment provenance between the western and central parts of the Chinese Loess Plateau, which is potentially affected by dust transport from westerly/northwesterly winds. Our integrated data set provides diagnostic constraints on the dust source, provenance variability, and transportation trajectory of the Chinese Loess Plateau, and highlights the importance of this new approach to provenance study of eolian deposits worldwide.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".