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<i>SAINT HELENA: CITIZENSHIP AND SPATIAL IDENTITIES ON A REMOTE ISLAND</i>

2005· article· en· W2095836514 on OpenAlexaboutno aff
Maarten Hogenstijn, Daniël van Middelkoop

Bibliographic record

VenueTijdschrift voor Economische en Sociale Geografie · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipSAINTQuarter (Canadian coin)PrisonPopulationTourismIdentity (music)GeographyHistorySociologyPolitical scienceEthnologyLawArchaeologyDemographyArtPoliticsArt history

Abstract

fetched live from OpenAlex

ABSTRACT Saint Helena is an extremely isolated island in the South Atlantic. It is connected to the outside world through the Internet, telephone and a shipping link. Its inhabitants, who call themselves Saints, were denied full British citizenship until May 2002. This prevented a large out‐migration. At the same time the struggle for citizenship provided a common cause, which united the people of Saint Helena. With the return of citizenship, an escape route became available. Roughly a quarter of the island's population has since left ‘prison home’ Saint Helena. Two options are now open, which will both bring major change to the island. Air access might bring much‐needed economic development, but it will also have an impact on the Saints’ identity and ‘way of life’. Without air access, more Saints will probably leave and this way of life will be shared by less and less people on the island.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.398

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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 designQualitative
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

Citations7
Published2005
Admission routes1
Has abstractyes

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