Long-term landscape evolution and denudation rates in shield and platform areas: a morphostratigraphic approach
Bibliographic record
Abstract
In shield and platform areas, various methods are expected to give indications on surface ages, e.g. dating of weathering mantles or reconstruction of the thermal history of upper crust rocks which presently crop out. Radiochronometry and thermochronology were widely used in the last decades to give estimated denudation depths and rates in active orogens as well as in shield and platform areas. Although usefully integrated in modern geomorphology, these methods sometimes reveal discrepancies with the results of field-based geomorphology. The principles of morphostratigraphy are first presented, and then the paper provides a review of some French researches, which were recently carried out in Québec, north-eastern Brazil and southern Africa. We explain why possible discrepancies occur between the results of physical analyses and morphostratigraphic methods. Finally the paper highlights how significant is to relate the thermal history of each sample to the local geological and geomorphic history.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".