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Record W4381834841 · doi:10.1080/24694452.2023.2193249

Understanding “Islandness”

2023· article· en· W4381834841 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnals of the American Association of Geographers · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsUniversity of Prince Edward Island
FundersBirkbeck, University of LondonUniversity of MauritiusNatural Environment Research CouncilSight Research UKNewcastle UniversityColby College
KeywordsEpistemologyIdentity (music)SociologyContext (archaeology)NarrativeAestheticsGeographyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Islandness is a contested concept, not just between disciplines but also cultures, entangled with what islands, island studies, and island identity are understood to be. The purpose of this article is to explore some of these different meanings, without necessarily unifying or reconciling them, with the aim of keeping multiple understandings of islandness in creative tension. We begin by considering islandness as smallness, recognizing that though many entry points into island studies relate to size in some way, what constitutes small is dependent on both context and worldview. Next, we consider islandness as culture, and the concept of island identity, which is expressed in varied forms. Finally, we consider framings of islands as others, and the extent to which contemporary narratives linked to islands are really inherent to islands or not. Ultimately, we conclude that although there is much to be gained from appreciating differing understandings of islandness, these multiple meanings make it critical to reflect on context wherever the term is used, and exercise care in assigning attributes and outcomes to islandness.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
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 head0.145
GPT teacher head0.357
Teacher spread0.212 · 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