Biological Implications of Change in Pacific-influenced Arctic Marine Ecosystems
Bibliographic record
Abstract
This lecture provides an overview of climate and biological changes in Pacific-influenced Arctic marine ecosystems. It reviews and examines the major contributing factors to these changes, including changing conditions of sea ice, freshwater input, and the alteration of marine ecosystems. Examples of these factors are provided to illustrate the potential impacts that will have broad-reaching implications for long-term ecosystem structures. This lecture also reviews the progress of various programs undertaken during recent years (i.e. Bering Sea Research Program, Canada's Three Oceans, the Russian/US Long-term Census of the Arctic Ocean, and the Western Arctic Shelf-Basin Interactions) which have provided insights into the key processes influencing ecosystem function and change in the northern Bering and Chukchi shelf regions. Data sets from these programs are included in this L&O e-Lecture, in the context of biological response to sea ice changes in the Pacific Arctic region, with accompanying discussion by the L&O e-Lecture author.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".