TUNU-I EXPEDITION The Fish Fauna of the NE Greenland Fjord Systems
Bibliographic record
Abstract
In October 2002, we had a brief opportunity to survey the marine fish fauna in two selected fjords- i.e. Dove Bugt (77 ° N) and Godthåb Golf (74 ° N)- in NE Greenland (Haug et al. 2002). Given the warming trends reported for the Arctic region in recent years, studies of the fish fauna in the fjords and coastal waters of East Greenland pose an unprecedented challenge to Arctic marine biological research. Hence, the “TUNU-Programme ” was coined and the ice-strengthened R/V “Jan Mayen ” at the University of Tromsø constituted the operational base for the “TUNU-I Expedition”. The term “TUNU ” is not another scientific acronym but the Inuit word for “the land at the back ” or- in the modern Greenlandic language-East Greenland. The term “Expedition ” is used instead of the more prosaic “cruise ” since we wish to underline that little or no marine investigations have been conducted in these pristine areas. The Roman numeral marks that this is the first of more planned expeditions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".