Benthic Faunal Assemblage of the Arctic Kongsfjorden System, Norway
Bibliographic record
Abstract
Kongsfjord is an open glacial fjord on the west coast of Svalbard, located northwards to Norway. Benthic samples were collected from seven selected locations as a part of summer Phase III group 2 – Indian Arctic Expedition 2011. The characteristic macro benthic fauna observed in the soft bottom glacial community include Foraminifera, Nematoda, Polychaeta, Bivalvia, Amphipoda, Calanoid copepoda and Ostracoda, out of which polychaetes (59%) and nematodes (21%) were abundant. The meio benthic group was constituted by Nematoda, Foraminifera, Bivalvia, Polychaeta, Harpacticoid copepoda, Gastrotricha, and Kinoryncha, of which nematodes (54%) followed by foraminferans (37%) were the dominant group. A significant difference in the distribution of meio benthos between the inner and outer fjords was observed. Multivariate analysis of macro and meio fauna showed an overall similarity of ~ 80% among stations. The inner and outer fjords were similar in terms of granulomertic composition and were also silt dominated in the entire Kongsfjorden system. Total carbon (TC) and total organic carbon (TOC) were higher in the outer fjord, but the total inorganic carbon (TIC) was slightly higher in the inner fjord. The diversity and abundance of benthic organisms was strongly influenced by sediment characteristics, glacial inputs and Atlantic water mass movements making the ecosystem unpredictable.
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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 | 0.001 | 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".