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Record W2254370309

Return Migration and Belonging in Rural Ireland: Methodological Considerations

2014· article· en· W2254370309 on OpenAlexvenueno aff
Christina Noble

Bibliographic record

VenueJournal of rural and community development · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsEmigrationIrishImmigrationCeltic TigerEthnographyOpenness to experienceDemographic economicsSociologyGender studiesGeographyEconomicsAnthropology
DOInot available

Abstract

fetched live from OpenAlex

Associated with the success of the 'Celtic Tiger' economy in the late 1990s and early 2000s, Ireland has seen a rapid demographic shift from large scale emigration to immigration. For the first time Irish-born migrants comprised the majority of this immigration flow (Ni Laoire, 2008) but have received negligible attention from academic researchers. Significantly, many returnees have returned to the predominately rural counties along the west coast of Ireland which historically bore the largest numbers of emigrants. For the most part their return, which is commonly equated to a return 'home', does not recognise that it can never be exactly the same place to which they return. This article seeks to discuss return migration in Ireland using an ethnographic approach influenced by the mobilities turn in geography. In particular, life story interviews will be discussed and reflections on the 'doing' of life-story interviews opens up space for reflections about this methodology as a way in which the structural openness of migrants' lives can be accommodated. Keywords: return migration, mobility, life stories and Ireland

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.078
GPT teacher head0.330
Teacher spread0.252 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2014
Admission routes1
Has abstractyes

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