What are the impacts of small-scale dredging activities on inland fisheries productivity? A systematic review protocol
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Small-scale dredging activities in freshwater bodies have the potential to impact habitats and food resources that fishes depend on, and ultimately impact fisheries productivity. This systematic review will explore the evidence base for small-scale dredging impacts on the indicators of fisheries productivity, and will help to inform management decisions that seek to reconcile biodiversity conservation and freshwater fisheries, with potentially disruptive anthropogenic activities in freshwater environments. This systematic review will examine, summarize and synthesize all available evidence on the impacts of small-scale dredging activities on surrogate indicators of fisheries productivity. All studies in freshwater habitats in temperate regions in both the Northern and Southern hemispheres will be considered. Both peer reviewed primary and grey literature will be included in the review, and searches will be conducted in academic journal databases, online search engines, and specialist websites. Study validity will be critically assessed to identify any risk of bias. Data will be presented as a narrative synthesis, and if sufficient good quality data are available, a meta-analysis will be performed.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it