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Record W2319484263 · doi:10.24043/isj.292

Opening up the island: a ‘counter-islandness’ approach to migration in Malta.

2014· article· en· W2319484263 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueIsland Studies Journal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsMobilitiesEconomic geographyImmigrationGeographyArticulation (sociology)Settlement (finance)HomogeneousSociologyGender studiesPolitical scienceSocial scienceLawComputer science

Abstract

fetched live from OpenAlex

This paper is based on qualitative research undertaken since 2010 with African immigrants living in the small island state of Malta. Its purpose is to deconstruct a number of discourses and preconceptions about irregular migration, migrants and islandness. We argue that, in order to better understand the situation of migrants in Malta, we have to engage critically with conventional wisdom that depicts (usually small) islands as isolated, immobile and homogeneous spaces. Using a spatial approach, we propose the term ‘counter-islandness’ to describe a migration situation characterized by movement (versus immobility) and articulation of scales (versus isolation). We show how different scales in their complex and multiple interactions contribute to shaping and determining the future and trajectories of the ‘undesirables’. We explain how Malta has found itself at the heart of a complex circulatory system, articulating mobilities operating at various scales. We then categorise the role of the island within migratory patterns into three different forms: the island as barrier, hub, and place of settlement.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.748
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.043
GPT teacher head0.330
Teacher spread0.287 · 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