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Record W1823883301 · doi:10.24043/isj.277

Tuvalu, Sovereignty and Climate Change: Considering Fenua, the Archipelago and Emigration

2013· article· en· W1823883301 on OpenAlexaffvenue
Elaine Stratford

Bibliographic record

VenueIsland Studies Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsSovereigntyCognitive reframingEmigrationArchipelagoNormativeArgument (complex analysis)AtollPolitical economyPolitical scienceState (computer science)SociologyGeographyLawEcologyPoliticsSocial psychology

Abstract

fetched live from OpenAlex

Tuvalu is a Pacific atoll nation-state that has come to stand for predicaments implicating climate change, forced emigration and resettlement, and loss of territory and sovereignty. Legal and policy remedies seek to address such challenges by radically reframing how sovereignty is conceived. Drawing on literary and legal theory, we seek to extend such work in the terms of cultural geography and anthropology by considering how the archipelago and cultural practices known as fenua could be deployed as symbolic and material resources emphasizing mobility and connection, in contrast to normative ideas of sovereignty, whose orientation to territory imperils atoll states. Our fundamental argument is that legal and policy reforms addressing climate change emigration must be enriched by accounting for the emotional geographies that attend the changing real and conceptual borders of sovereignty and by creating alternative spaces of hope and action.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.010
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.177
GPT teacher head0.350
Teacher spread0.173 · 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 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

Citations48
Published2013
Admission routes2
Has abstractyes

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