Base Level and Lithologic Control of Drainage Reorganization in the Sierra de las Planchadas, NW Argentina
Bibliographic record
Abstract
Abstract Planform drainage reorganization in catchments is a common response to changes in boundary conditions. Rivers reorganize through two predominant mechanisms: discrete stream capture events and progressive divide migration. Using general geomorphic observations, flow azimuth analysis, χ anomalies, local headwater relief, and the normalized steepness index ( k sn ), we examine drainage reorganization, its potential controls, and the response timescales for drainages in the Sierra de las Planchadas, NW Argentina. We additionally expand on the comparison of trunk and tributary k sn values as a potential tool for recognizing drainage reorganization. We identify three significant patterns of reorganization: (1) the migration of the main drainage divide (MDD) toward the hinterland, (2) capture of longitudinal drainages by transverse reaches, and (3) shrinking foreland catchments that will result in changes to basin outlet spacing. We determine that the migration of the MDD is due to local base level differences between the major range‐bounding basins, while more local patterns, such as the capture of longitudinal drainages, are the result of the distribution of erosionally resistant lithologies. We additionally assess the response timescales required for topologic changes to the drainage network, such as divide migration; we conclude that, as suggested by modeling studies, they are longer than the timescale required for channel profile adjustment.
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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 | 0.003 | 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 | 0.001 |
| 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".