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Record W4308704898 · doi:10.1017/9781108226875.004

Climate Change, Rising Seas, and Endangered Island Nations

2022· book-chapter· en· W4308704898 on OpenAlexaff
Hilda C. Heine, Kathy Jetn̄il-Kijiner

Bibliographic record

VenueCambridge University Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMicronesianIndigenousAtollGeographyClimate changeGovernment (linguistics)Political scienceState (computer science)Face (sociological concept)Small Island Developing StatesPosition (finance)EthnologyOceanographyHistorySociologySocial scienceEcology

Abstract

fetched live from OpenAlex

In this chapter, an Indigenous mother and daughter dynamic duo share their thoughts and fears, as well as their experiences and insights, as people from Micronesian atolls whose lands face destruction due to rising sea levels associated with global warming. Dr Hilda Heine served as President of the Republic of the Marshall Islands, a position that followed a long list of ‘firsts’, including being the first Indigenous Marshallese to earn a doctorate degree and the first female president of any Micronesian government. Her career began in the classroom, and even as a Head of State she used her vocation and talents to further the world’s knowledge of the Marshall Islands, Micronesia, and the wider Pacific, particularly highlighting environmental issues that threaten her people’s future.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.991
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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.099
GPT teacher head0.264
Teacher spread0.165 · 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 teacher head, not a consensus.

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
Published2022
Admission routes1
Has abstractyes

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