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Record W7097562263

ARCTIC Commentary: What Impact Will the Oil Industry Have on Seabirds in the Canadian Arctic? E.M. LEVY’ THE THREAT FROM OIL

2015· article· en· W7097562263 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsSeabirdArcticPopulationThe arcticPetroleum industryNest (protein structural motif)Production (economics)
DOInot available

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.520
Threshold uncertainty score0.954

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.003
Scholarly communication0.0020.002
Open science0.0040.001
Research integrity0.0240.022
Insufficient payload (model declined to judge)0.0060.003

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.

Opus teacher head0.034
GPT teacher head0.272
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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