An assessment of in-stream restorative structures on tertiary streams in the Annapolis Valley, Nova Scotia
Bibliographic record
Abstract
In Nova Scotia, many second and third order, high gradient tributaries have been the focus of restoration and enhancement efforts by community groups interested in re- establishing and/or enhancing Brook Trout (Salvelinus fontinalis) and Atlantic Salmon (Salmo salar) populations. Through an evaluation of an enhanced and an unaltered tributary, a lack of understanding of watersheds as physical systems has been discovered, which in some cases, has led to ineffectual restoration and enhancement efforts. Two systems, Elderkin Brook and the South Annapolis River, were evaluated. Both are located in the Annapolis Valley, Nova Scotia. Both streams can be divided into three distinct reaches along their length: (1) an upper, ungraded, bedrock dominated reach consisting mainly of water falls and rapids, (2) a middle, ungraded reach with a bedrock bottom covered by a thin gravel veneer, and (3) a lower, graded, alluvial dominated reach. Analysis of the natural distribution of in-stream features (e.g., spacing of pools and runs) indicates that their frequency is not consistent and is determined by a variety of physical conditions unique to each site. Habitat enhancement efforts on Elderkin Brook and the South Annapolis River have focused on the application of restoration and enhancement techniques developed using low gradient, graded rivers as models. These models do not apply to all reaches within the systems examined in this study and, as such, the in-stream structures introduced have, in many instances, been largely ineffectual. It is suggested that, to be effective, restoration and enhancement protocol must be flexible and must include a rigorous evaluation of natural in-stream processes at each site.
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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 | 0.000 | 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) | 0.001 | 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".