Bibliographic record
Abstract
Results from a four year (2001-2004) project reveal that brominated flame retardants such as polybrominateddiphenyl ethers are present in fish all over Arctic with a tendency of higher levels in European Arctic compared to American Arctic (Alaska and Canada). This science based learning educational project involved 15 GLOBE schools from 7 countries in Arctic; Alaska, Canada, Finland, Iceland, Norway, Russia and Sweden. Based on awritten “hands-on” fish protocol made by NILU, the involved school sampled two or three parallels during fall2001, spring 2001, fall 2002 and fall 2003. NILU analysed two samples for each school each sampling period, a total of 47 samples of Atlantic cod, Pacific cod and haddock livers, 14 samples burbot liver, 5 samples of whitefish liver, 6 whitefish fillets, and 18 samples of Arctic char, Atlantic and Pacific salmon and Brown trout fillets. Reported data of PCB153, BDE47 and BDE99 are given with a comparison to other international data. Appendix with sampling protocol and additional useful Internet links for different themes such as transport and effects of POPs, food advisories, fish species and sampling is attached.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.041 | 0.021 |
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 source (direct Gemma or distilled Codex), 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".