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Record W4210784892 · doi:10.24043/isj.360

Island studies as a decolonial project (Guest Editorial Introduction)

2016· article· en· W4210784892 on OpenAlexaffvenue
Yaso Nadarajah, Adam Grydehøj

Bibliographic record

VenueIsland Studies Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsDecolonizationColonialismIndigenousModernization theoryPoliticsMainlandPolitical sciencePopulationGeographyDemocracyEthnologyHistorySociologyEcologyBiologyArchaeology

Abstract

fetched live from OpenAlex

The phenomenon of colonialism influenced the cultures, economies, and politics of the majority of the world’s population. The subsequent decolonization process has likewise had profound affects on colonized societies. Island societies undergoing decolonization face many of the same pressures and challenges as do mainland societies, yet island spatiality and the history of island colonization itself has left former and present-day island colonies with distinctive colonial legacies. From the Caribbean to the Arctic to the Pacific to the Indian Ocean to the Mediterranean, colonial and decolonial processes are creating tensions between maintenance of the culture of indigenous peoples, economic development, cultivation of cultural heritage, political modernization, status on the global stage, democratic governance, and educational achievement. We call for an island studies perspective on decolonization, emphasizing the importance of appropriately positioning expert knowledge relative to the needs of colonized and indigenous peoples and highlighting the pitfalls of neocolonialsim. We thus lay the groundwork for island studies as a decolonial project.

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)0.013
metaresearch head score (Gemma)0.025
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.014
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.025
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0060.008
Scholarly communication0.0130.008
Open science0.0030.007
Research integrity0.0120.016
Insufficient payload (model declined to judge)0.0140.004

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 head0.037
GPT teacher head0.378
Teacher spread0.340 · 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
GenreEditorial

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

Citations78
Published2016
Admission routes2
Has abstractyes

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