Bedload sediment transport and morphologic data in an unrestored and restored reach of Wilket Creek, Toronto, Canada.
Bibliographic record
Abstract
This project monitors the movement of coarse sediment and morphological change through a newly restored section of Wilket Creek (Toronto), and directly compares bedload transport processes with an adjacent un-restored section. This study presents a means of monitoring bedload transport processes in restored rivers, and results can inform future river restoration designs. Data was collected from an un-restored reach and a restored reach of Wilket Creek, Toronto, Canada. The grain size distribution of the restored reach was done using a Wolman Pebble count with a 200-stone sample size. Bedload transport was monitored over three years using Radio Frequency Identification (RFID) tracer stones. Two waves of tracers were seeded. The first wave was seeded in August, 2013, and comprised of 143 tracers in the unrestored reach and 299 tracers in the restored reach in 5 size classes. The second tracer wave was seeded in August, 2015 and comprised of 300 tracers seeded in the restored reach in 3 size classes. Tracer positions were recorded after each major rainfall event during the active field season each year, resulting in a total of 10 recoveries of the first tracer wave, and 12 recoveries of the second tracer wave. With each recovery, the travel distance of each tracer since its last known position is calculated. Repeat cross section surveys were conducted through the restored reach to monitor morphologic change. A total of 19 cross sections were surveyed 4 – 6 times between February 2013 and July 2018.
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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 | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".