The effectiveness of non-native fish eradication techniques in freshwater ecosystems: 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
This systematic review will address the need for having a better understanding of the evidence-base for the effectiveness of different management techniques focussed on the eradication of non-native fish species in the freshwater environment. Many resource management agencies around the world attempt to eradicate non-native fish species to achieve management goals with respect to ecological integrity. There is a need to better understand the effectiveness of each management technique to provide resource managers with the information necessary to effectively manage aquatic resources, and to choose the best technique to yield desired outcomes given different ecological and biological conditions. The findings of this systematic review will inform evidence-based management and conservation activities for resource managers around the globe that deal with non-native fish eradication programs. This systematic review will search for, compile, summarize, and synthesize evidence on the effectiveness of fisheries management techniques used for the eradication of non-native fish species in global freshwater systems. The review will use public search engines and specialist websites, and will include both primary and grey literature. All studies that assess the effectiveness of a fish eradication technique, in freshwater, will be included in the review. Potential effect modifiers will be identified to obtain a better understanding of the factors that affect the success of different eradication techniques, given different environmental conditions and biological factors. Study quality will be assessed to allow for critical evaluation, including study design, confounding factors and statistical analysis. Data will be compiled into a narrative synthesis and a meta-analysis will be conducted where data availability and quality allow.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it