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Record W4391282895 · doi:10.24043/001c.92155

Social Psychological Perspectives on Islandness: Identities, Vulnerabilities and Precarities

2024· article· en· W4391282895 on OpenAlexvenueno aff
Kate Matheson, Chris Pawson, Peter Clegg

Bibliographic record

VenueIsland Studies Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
FundersUniversity of the West of England
KeywordsVulnerability (computing)Identity (music)PerceptionSociologyEthnographySocial psychologyPrecarityMental healthSocial identity theoryPsychologyGender studiesAnthropologySocial groupAesthetics

Abstract

fetched live from OpenAlex

Although there are many widely perceived attractions to living on a small island, island life is not without its challenges. The physical aspects of these are well rehearsed. The psychological ones, less so. Drawing on social psychological theories, we analyse the experience of living on small islands, with a focus on two small British islands. Data were collected through ethnographic fieldwork, involving observations and interviews with small island inhabitants. We found a range of factors impacting them psychologically, including several that suggest identity and social identity theories may provide a useful psychological lens for understanding these communities. There were also other psychological features identified that suggest a self-perception of vulnerability. These were reflected in concerns around the precarity of employment, but also evident in islanders’ discourses around health (both physical and mental). These findings echo previous authors’ assertions concerning the existence of an ‘island psychology’ evident in the experiences of island residents, but also contribute to discussions around its origins and mechanisms of influence - which we argue have been hitherto, relatively atheoretical. Importantly, a better understanding of island experience, and the relevant theoretical frameworks, can assist in supporting the wellbeing of islanders and the sustainability of their communities.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.549
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.000
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 head0.067
GPT teacher head0.412
Teacher spread0.345 · 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 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

Citations12
Published2024
Admission routes1
Has abstractyes

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