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Record W4386777841 · doi:10.2979/gbs.2022.a900823

113 Submerged Reefs

2022· article· en· W4386777841 on OpenAlexaboutno aff
Rina Garcia Chua

Bibliographic record

VenueThe Global South · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsnot available
Fundersnot available
KeywordsAtollGarciaChinaReefGeographyCartographyFisheryOceanographyHumanitiesArchaeologyArtGeologyBiology

Abstract

fetched live from OpenAlex

113 Submerged Reefs Rina Garcia Chua (bio) The Spratly Islands are located in the so-called South China Sea and consist of a number of small islands, reefs, atolls and rocks. These islands have been disputed with varying degrees of intensity for more than 50 years. They continue to be a point of dispute between six different states to this day. The Spratly Islands are claimed in whole or part by The People's Republic of China (PRC), The Republic of China (ROC/Taiwan), The Philippines, Vietnam, Malaysia and Brunei. —Lin Alexandra Mortensgaard, "The Spratlys Dispute" Click for larger view View full resolution [End Page 58] Rina Garcia Chua Rina Garcia Chua (Philippines/Canada) is a Jack and Doris Shadbolt Fellow in the Humanities at Simon Fraser University and she received her PhD from the University of British Columbia. Rina is poetry editor of Tiger Moth Review and co-editor of The Goose: A Journal of Arts, Environment, and Culture in Canada. "113 Submerged Reefs" was previously published in g u e s t #17, edited by Melanie Dennis Unrau, above/ground press (June 2021). Copyright © 2023 The University of Mississippi

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.101
Threshold uncertainty score0.338

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1010.028

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 head0.006
GPT teacher head0.175
Teacher spread0.170 · 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
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

Citations0
Published2022
Admission routes1
Has abstractyes

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