Downstream Channel Gradation in the Regulated Peace River
Bibliographic record
Abstract
Abstract: Dam construction on Peace River in northern British Columbia and Alberta has significantly reduced peak flows, while leaving sediment delivery to the river largely unchanged. The consequent channel gradation is described, main emphasis being given to the 147-km reach immediately below the dams. Channel bed elevation changes are assessed from repeated surveys of monumented cross-sections with average spacing four kilometers, and from specific gauge analyses at eight stations along the 1000 km river. Degradation in the British Columbia reach is minimal and local, in consequence of the naturally armored cobble-gravel bed and elimination of competent flows. However, degradation was more common during the major flood of 1996. Aggradation has occurred near tributary confluences and below other sediment sources, leading to channel constriction and regrading past the confluence. Consequently, the long profile of the river is becoming stepped, but a new equilibrium gradient has not yet been reached near major tributary junctions. Specific gauge analyses in the British Columbia reach are consistent with the survey results. In the more distal portions of the river, specific gauge analyses identify only small changes. Aggradation is interpreted as a mechanism by which the river can recover competence locally to move coarse sediment introduced by the tributaries. Planform adjustment of the river has been restricted to abandonment of the highest flood channels, most of this change occurring passively immediately after regulation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".