The multi-dimensional perspectives of taboos on gender roles of fisherfolk in the Global South
Bibliographic record
Abstract
Abstract In the Global South, small-scale fisheries may be highly influenced by taboos and traditional beliefs that are believed to maintain fishing pressure within sustainable limits, maintain ecosystem balance and mitigate risks associated with work at sea. However, despite their potentially significant role in mediating human-resource interactions, limited attention has been given to taboos in the context of small-scale fisheries. Among the socio-cultural taboos shaping participation in and benefits from fisheries activities, gender-specific taboos are particularly significant. Thus, this paper explores the role of gender taboos in sustainable and equitable small-scale fisheries management in the Global South. It also identifies and assesses the quality and scientific rigor of the key themes from the literature. A systematic literature review was conducted to assess the state of knowledge on taboos and small-scale fisheries and situate the role of gender-specific taboos within small-scale fisheries governance. Over 100 relevant publications were obtained and categorised using scanning and selection methods. The main emerging themes from the literature review included traditional ecological knowledge and taboos, conservation and management taboos, and gender taboos. The findings highlight the significance of taboos in shaping gender dynamics, livelihoods, and food security within small-scale fisheries; however, there remain many gaps in understanding the role of taboos in mediating fishing activities and in maintaining gender inequalities in the fisheries sector. Without this knowledge, gender inequalities could be further exacerbated where taboos are used as a management tool without considering the gender dimensions. This study, therefore, seeks to fill this gap by providing insights for fisheries managers and practitioners for managing fisheries in a way that considers these socio-cultural factors that shape access to, control over and the benefits derived from fisheries.
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.
How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".