Interdisciplinary science and fishers’ local ecological knowledge of sawfishes in the Yucatán Peninsula
Bibliographic record
Abstract
Abstract Our knowledge of sawfishes remains scant for Latin America. Pristis pristis (largetooth sawfish) and Pristis pectinata (smalltooth sawfish) are critically endangered. In the Yucatán Peninsula (YP), P. pristis and P. pectinata inhabit coastal landscapes. A total of 290 surveys of fishers’ local ecological knowledge (LEK), including a geospatial component, were collected; 74 literature sources and available archaeological data for the region were reviewed. Interdisciplinary results show the following: the common past presence of sawfishes, their cultural significance for coastal societies, and the contemporary absence of sawfishes in coastal areas where they existed historically; sightings of juveniles were only documented by elder fishers, and only two recent narratives mention sawfishes caught incidentally 5 years ago. Geospatial results provide evidence for 52 geographic sites where sawfishes were common in the YP. Results support the development of research methodologies to study human–nature interactions integrating LEK. This matters in the YP, where sociocultural values and landscapes have changed rapidly through increasing tourism development and human overcrowding. The results can help conservation managers understand the past presence and contemporary loss of sawfishes, and their habitat, and contribute to understanding the defaunation of megafauna in the YP through time. This is critical for tourism and fishery ecosystem services on which communities of the YP rely for their economies.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".