ARCTIC Commentary: What Impact Will the Oil Industry Have on Seabirds in the Canadian Arctic? E.M. LEVY’ THE THREAT FROM OIL
Bibliographic record
Abstract
The potential for destruction of the seabird colonies of the Canadian Arctic as a consequence of the exploration and even-tual production of hydrocarbons has been widely recognized and considered in most, if not all, of the relevant Environmen-tal Impact Statements prepared to date. Because these birds nest in densely populated colonies, concentrate to feed at ice edges and in open leads, and winter in restricted localities, they are particularly vulnerable to oil. Whether from a major blow-out or shipping accident or from a much smaller spill, oil in the wrong place at the wrong time could seriously reduce or even eliminate some of these colonies and have a lasting im-pact on the entire population of seabirds in the region. Con-cern over this threat has resulted in research that has vastly im-proved our knowledge of the location, size, breeding success or failure, feeding habits, and migration patterns of Northern
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.024 | 0.022 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".