Replication Data for: Spatial distribution of fishmeal and fish oil factories around the globe
Bibliographic record
Abstract
Fishmeal and fish oil (FMFO) are critical inputs for the compound aquatic feeds sustaining the fed aquaculture sector, yet there is limited publicly available information on the location of FMFO production factories around the globe. This makes it difficult to assess the environmental, social, and economic impacts of individual factories and the industry’s footprint as a whole. To fill this knowledge gap, we compiled location data for FMFO factories across 63 producing countries. We identified 506 factories owned and/or operated by 413 companies. We provide an open-source database that includes FMFO factory locations, company names and websites, and raw material types. This study offers a first look at the spatial distribution of the FMFO industry and serves as a valuable resource for marine resource managers and policymakers. Knowing the locations of factories and where FMFO production is concentrated can inform the development of cooperative national and international policies to ensure environmentally and socially responsible standards.
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 | 0.001 |
| 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 | 0.004 | 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".