PARTICIPATORY DESIGN OF A MONITORING PROTOCOL FOR THE SMALL-SCALE FISHERIES AT THE COMMUNITY OF TARITUBA, PARATY, RJ, BRAZIL
Bibliographic record
Abstract
Abstract This paper aims to describe and analyze the design of the participatory monitoring protocol of Tarituba, a fishing community in Southern Brazil, and to discuss the setbacks for its implementation. The protocol aimed to integrate fishers’ scientific and technical knowledge under the ecosystem approach to fisheries, employing a pioneering method prevalent in the Brazilian coastal region: The Global Socioeconomic Monitoring Initiative for Coastal Management (SocMon). Monitoring goals lie in the socioecological sustainability of local fisheries and seek to solve conflicts resulting from fishing restriction due to the establishment of a Protected Area. SocMon was a useful tool to improve communication between and among fishers and managers. The legitimacy of the process was reinforced by participation of the fishers; however, the long waiting period preceding the implementation of the jointly agreed upon term caused frustration and mistrust amongst fishers, compromising future participation.
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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 | 0.114 | 0.105 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".