Bibliographic record
Abstract
Research Article| October 01, 2007 Thermochronologic Approaches to Paleotopography Peter W. Reiners Peter W. Reiners Department of Geosciences, University of Arizona, Tucson, Arizona, 85721, U.S.A., reiners@u.arizona.edu Search for other works by this author on: GSW Google Scholar Author and Article Information Peter W. Reiners Department of Geosciences, University of Arizona, Tucson, Arizona, 85721, U.S.A., reiners@u.arizona.edu Publisher: Mineralogical Society of America First Online: 09 Mar 2017 © The Mineralogical Society Of America Reviews in Mineralogy and Geochemistry (2007) 66 (1): 243–267. https://doi.org/10.2138/rmg.2007.66.10 Article history First Online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Peter W. Reiners; Thermochronologic Approaches to Paleotopography. Reviews in Mineralogy and Geochemistry 2007;; 66 (1): 243–267. doi: https://doi.org/10.2138/rmg.2007.66.10 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyReviews in Mineralogy and Geochemistry Search Advanced Search Abstract Although thermochronology cannot directly constrain paleoelevation, it can provide estimates of the form, location, and scale of paleotopographic relief, i.e., paleotopography, and its change through time. Unique thermochronologic perspectives on paleotopography come from 1) spatial patterns of surface and subsurface cooling ages or cooling histories that reflect either the influence of topography on subsurface isotherm warping, or spatially focused erosion (including incision), and 2) the age-elevation relationship in paleolandscapes that may be preserved in detrital cooling age distributions. This chapter reviews the fundamental theory and results of these approaches and several example applications. Case studies show examples of both decreasing and increasing topographic relief through time, at the orogen scale and across short ridge-valley wavelengths, and significant modification of local topographic features in glaciated and fluvial settings. In some cases, thermochronologic evidence for fluvial incision at short wavelengths has also been argued to be the result of surface uplift at very long wavelengths. Although not yet used for such purposes, detrital approaches also have the potential to reconstruct paleotopographic relief and paleohypsometry in paleocatchments. In all cases, paleotopographic interpretations from thermochronology require important assumptions or case-by-case support from other lines of evidence. Central issues pertinent to thermochronologic interpretations of paleotopography are the nature of the shallow crustal thermal field through which the samples cooled (including the influence of fluid flow) and the role of rock uplift gradients in modifying simple relationships between erosion and topography. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".