From vulnerable to resilience: an assessment of small-scale fisheries livelihood in South Malang of Indonesia
Bibliographic record
Abstract
The livelihoods of small-scale fisheries in South Malang of Indonesia are being notably influenced by ecosystem degradation and climate change. Therefore, this study aims to investigate the vulnerability of small-scale fisheries in South Malang of Indonesia using the livelihood vulnerability index. The livelihood vulnerability was estimated using five major components and 20 sub-components. The data were obtained from small-scale fisheries in South Malang of Indonesia through questionnaires directed to the respondents using simple random sampling. The findings indicate that two main components (livelihood strategy and climate variability and natural disaster) were included in high vulnerability, while another two main components (sociodemographic and social network) were categorized as moderate vulnerability. The sensitivity components, including access to water, electricity, and health) were perceived as low vulnerability. Based on the findings of this study, it recommends that policymakers need to develop policies and campaigns regarding climate awareness and adaptation strategies by small-scale 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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".