Bibliographic record
Abstract
Coarse woody debris affects many streams in forested regions throughout the world. These effects include lateral channel migration, bank slumping, and aggradational or erosional features related to flow redirection. The extent of effect is dependent on the ability of the system to resist the new forces derived from flow redirection. This study on the Pine River, Ontario, looks at how obstructions that are perpendicular to downstream flow modify fluid behavior. Results show that fluctuations in speed and approach azimuth vary considerably depending on the position of the sample relative to the obstruction. The use of time-averaged (1 sec., 30 sec.) recordings of fluid speed and azimuth at selected channel locations shows how flow adjusts to external controls as it moves away from the obstruction zone, giving an indication of the spatial extent of the obstruction influence. These data are represented as a function of the diameter of the obstruction relative to the surrounding flow depth (obstruction ratio), and then are compared to results found in other debris obstructions on the Pine River and Wilmot Creek. Flow obstruction dimensions in the study site equal 26.5 trunk diameters (the average diameter of the tree trunk measured five times along its length), and range between 16.9 and 56.7 trunk diameters on the Pine River (n = 48) and between 7.4 and 63.5 trunk diameters on Wilmot Creek (n = 1066). Knowledge of these spatial relationships may allow for better management of woody debris in streams, primarily from the perspective of aquatic habitat. Multiquadric interpolation formed the basis for plotting fluid vector fields, showing the behavior of flow as it approached and moved through the obstruction zone. This is compared to studies of flow in unobstructed meanders in an attempt to quantify obstruction influence, and is used to provide a depiction of flow under these circumstances. [Key words: flow patterns, woody debris, influence zones, stream management.]
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 | 0.000 | 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) | 0.001 | 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".