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Record W2098941117 · doi:10.1093/yiel/20.1.xvii

From the Editors-in-Chief

2009· article· en· W2098941117 on OpenAlexaff
Ole Kristian Fauchald, David Hunter, Xi Wang

Bibliographic record

VenueYearbook of International Environmental Law · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsYearbookPublishingArcticPolitical scienceThe arcticClimate changeLibrary scienceOperations researchLawComputer scienceEngineeringGeologyOceanography

Abstract

fetched live from OpenAlex

During the past few years, we have discussed the possibility of publishing an electronic version of the Yearbook, including making available past volumes. We are happy that we have reached agreement with Oxford University Press on publication of a web-based version of the Yearbook. Easy access to the vast amount of information and analysis that has been collected and published in the Yearbook’s twenty volumes will provide a valuable research tool for those who work with, study, or have general interest in international environmental law and policy. We hope electronic publishing of this material will provide significant support to the implementation, clarification, and further development of treaty-based and customary international environmental law. The 2009 volume of the Yearbook addresses polar regimes. Polar regimes face a number of challenges due to climate change, current levels of exploration and exploitation of natural resources, increased interest in polar research, and increases in tourism. Our objective has been to promote studies of the origin and development of the legal regimes that have been established to address these and other challenges in Antarctica and in the Arctic region.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.005
GPT teacher head0.221
Teacher spread0.216 · 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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2009
Admission routes1
Has abstractyes

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