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Record W7112633441

The Complexities of Acculturation and Discrimination of Immigrants in Ireland

2025· other· en· W7112633441 on OpenAlexaboutno aff

Bibliographic record

VenueTRAP@NCI (National College of Ireland) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAcculturationIrishImmigrationScale (ratio)Regression analysisIndex of dissimilarity
DOInot available

Abstract

fetched live from OpenAlex

Introduction: The increasing number of multi-cultured immigrants reaching the Republic of Ireland, suggests notable psychological adaptations for the Irish-arrived immigrants, in relation to their ability to acculturate and assimilate in Irish society. This research study explores the relationship between perceived discriminatory experiences and the processes of assimilation and acculturation among Irish immigrants, considering demographic variables (age, gender, ethnicity). Method: This study employs a quantitative, cross-sectional, within-subjects design. A number of 82 participants, have been administered three measured scales, 1) the Acculturation Attitude Scale (AAS), (2) Vancouver Index of Acculturation (VIA), and lastly, (3) Day-to-Day and Major Events Discrimination Scale (EDS) & (MEDS); alongside recording the demographical factors of each individual (age, gender, and ethnicity). Results: The results administered non-significant results regarding all hypotheses identified; two correlational analyses, simple linear regression analyses for each variable, and lastly, two multiple regression analyses. Conclusion: The findings of this study determined non-significant relationship between perceived discrimination and assimilation/acculturation in Irish immigrants. Therefore, suggesting that other factors beyond discrimination influence assimilative and acculturative attitudes among Irish immigrants. Further research is recommended to explore these potential influencing factors in greater depth.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.802
Threshold uncertainty score0.931

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.024
GPT teacher head0.281
Teacher spread0.257 · 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
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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