Return Migration and Belonging in Rural Ireland: Methodological Considerations
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.046 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.005 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".