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Record W7033032530

Papahanaumokuakea Marine National Monument Expanding Protections to Conserve Hawaiian Culture and Biodiversity

2016· article· en· W7033032530 on OpenAlexaboutno aff

Bibliographic record

VenueIssue Lab (Candid) · 2016
Typearticle
Languageen
FieldComputer Science
TopicBluetooth and Wireless Communication Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsNational monumentNational parkBiodiversityMarine biodiversitySquare (algebra)Quarter (Canadian coin)Marine protected areaMarine reserveMarine life
DOInot available

Abstract

fetched live from OpenAlex

Papah?naumoku?kea means "a sacred area from which all life springs" and is the Hawaiian name for the Northwestern Hawaiian Islands Marine National Monument. To Hawaiians, Papah?naumoku?kea is a place of honor, believed to be the root of native ancestral connections to the gods, and the site to which spirits return after death. The islands and the water around them are home to more than 7,000 species, a quarter of which are found nowhere else on Earth. At the time of its creation in 2006, the Papah?naumoku?kea Marine National Monument was, at 140,000 square miles (363,000 square kilometers), the largest fully protected marine park in the world. Its designation marked the first time a protected area of such significance had been established in the ocean.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.029
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0210.001

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 head0.017
GPT teacher head0.247
Teacher spread0.230 · 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
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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