The Impact of Socio-Economic Factors on the Decline of Fishery Resources
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
The decline of fishery resources poses a serious challenge to the global marine ecosystem and socio-economic system. Socio economic factors play an important role in this issue and have a profound impact on the health and sustainability of fishery resources. The closely intertwined relationship between fisheries and socio-economic factors has become increasingly significant in the current global environmental context. The impact of socio-economic factors on the decline of fishery resources is mainly reflected in the livelihoods of fishermen, the protection of fishery practitioners by social policies, and overfishing behavior caused by economic development pressure. Although economic development brings prosperity to society, it may also trigger excessive dependence on fishery resources, accelerating the decline of resources. This review focuses on elucidating how socio-economic factors directly affect the health and sustainability of fishery resources, providing a profound understanding and insights for developing more forward-looking and feasible fisheries management policies.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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