Responsible Fishmeal Consumption and Alternatives in the Face of Climate Changes
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
Aquaculture expanded around 8.6% per year during the period 1980–2012. It is the greatest growing food producing sector. The intensification of fish production from aquaculture has made its demand for fishmeal from small pelagic fishes as an increasingly important issue. Recognizing the vulnerability of small pelagic fishes to challenges of climate changes is serious. It will have consequent challenges in terms of ensuring economically, socially and environmentally responsible fishmeal production practices. The possibility of replacing fishmeal with nutritionally comparable feedstuffs would diminish stress on prices of feed inputs resulting from captured fisheries. Diverse types of alternative (plant, animal, fishery by-products and novel foods) protein sources have been experienced in a variety of aquaculture feeds. This review aims to appraise the different kinds of fishmeal alternatives and the most proper substituent in fish diets. The paper in hand proposed that some of the described fishmeal alternatives could leads to a considerable drop in small pelagic fishes utilization, but still they might be more cost-effective than fishmeal. Studies should take into account both economic and biological assessment of dietary protein sources as fishmeal substituents. On the other hand, the environmental impacts of such alternatives should be evaluated in order to guarantee sustainability of fish feed industry.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it