Evaluation of natural channel design applications in southwestern Ontario
Bibliographic record
Abstract
'Natural' channel design is a practice increasingly used in restoration projects to construct watercourse channels that emulate the physical form and function of natural fluvial systems. However, little is known regarding the success of 'natural' channel design in attaining the stability that characterizes natural systems. A research study was conducted to evaluate the long-term performance of 'natural' channel design applications in five streams in Southwestern Ontario. The existing condition of the study channels was characterized through qualitative observation, topographic surveys, bed material sampling, and numerical modelling. The results were compared with baseline data to assess channel change since construction. Findings demonstrate that the study channels had maintained a relatively stable form over a period of 4 to 7 years. However, natural physical function was not achieved at any of the study sites because the boundary material used to form the channels was too large to permit channel adjustment. There was also that evidence that inconsistencies and errors in design methods may have resulted in channel designs that were incompatible with local conditions.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".