Drainage Rearrangement as a Driver of Geomorphological Evolution During the Upper Pleistocene in a Small Tropical Basin
Bibliographic record
Abstract
The development of river networks in contexts where intense tectonic activity converges with great lithological variability, such as the Ocoa River Basin in the south of the Dominican Republic, usually hosts excellent examples of drainage rearrangement. This mechanism is defined as a transfer of part or all of a river’s flow to another river. According to the process involved, drainage rearrangement may be classified in one of four categories: stream capture, river diversion, beheading and, more recently, karst piracy. The Parra River Basin (29.5 square kilometers), part of the Ocoa River Basin, features excellent examples of drainage rearrangement. The aim of this research was to detect and characterize drainage rearrangement evidence in three sub-basins of the Parra River Basin. Several geomorphological features, including striking differences in lithological types of alluvial deposits between terraces and stream beds, a sinkhole in a tributary stream, as well as high variability in basin morphometry computed using GIS techniques, suggest the development of karst piracy during the Upper Pleistocene in the Parra drainage network, along with other minor rearrangement forms. Karst piracy is an understudied model of drainage rearrangement worldwide, and so it is in the Dominican Republic. Hence, this paper contributes to a better understanding of the interaction between rivers and karst systems, at the same time providing new evidence for this little-known phenomenon.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".