The contribution of Area-Based Fisheries Management Measures to Fisheries Sustainability and Marine Conservation: a global scoping 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
Objective: This scoping review (ScR) aims to identify and map the evidence base on the contribution of area-based fisheries management measures (ABFMs) to fisheries sustainability and marine conservation. Emphasis will be given to the research that has been conducted in terms of the methodologies applied and the key findings acknowledged. Introduction: ABFMs have been used for centuries and are present in modern fisheries management plans and regulations. Although ABFMs are commonly related to the sustainable exploitation of the target species of the managed fishery, they may also be considered as wider conservation measures, in the cases where their outcomes include the protection or reduction of impact on biodiversity or ecosystem structures and functions. Inclusion criteria: Studies that perform an assessment of the contribution of ABFMs on either fisheries sustainability or on area-based marine conservation (or both) will be considered. All types of ABFMs in the marine realm globally, which are established as management measures by any type of designation authority or jurisdiction and for any type of fishing activity, gear, target species and/or habitats will be considered. Peer-reviewed and grey literature will be included. There will be no search limitations applied by year of publication. Studies in English, French, Greek, Italian, Spanish and Swedish will be reviewed. Methods: The ScR will be conducted in accordance with the JBI (Joanna Briggs Institute) methodology. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) extension for ScRs will guide the protocol. The bibliographic databases to be searched include Scopus and Web of Science. Sources of grey literature will include databases, pre-print archives, organisational websites and web-based search engines. The design of the search strategy will be guided by a librarian/ information specialist. The Zotero software, Sysrev platform and EviAtlas tool will be used for data management, extraction and presentation. Data will be extracted by two reviewers. Tables, graphs and maps along with a narrative summary of the outcomes will be presented.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 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 it