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Record W7053427031

What are the cultural challenges facing Irish immigrants employed in the education sector in the Greater Vancouver area?

2021· other· en· W7053427031 on OpenAlexaboutno aff

Bibliographic record

VenueNORMA · 2021
Typeother
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsnot available
Fundersnot available
KeywordsIrishImmigrationPopularityLonelinessIsolation (microbiology)Cultural diversity
DOInot available

Abstract

fetched live from OpenAlex

There has been a long tradition of Irish immigration, with many youth seeking better opportunities abroad in various fields of work. Canada in particular has increased in popularity as a destination for young Irish teachers, with Vancouver becoming increasingly popular with young Irish educators due to the demand for teachers in the area. This research reviewed existing research on Irish immigrant’s experiences in Canada, and the research conducted focuses on answering the question, “What are the cultural challenges facing Irish immigrants employed in the education sector in the Greater Vancouver area?” Six interviews were conducted with members of the Irish community in the Greater Vancouver area, all of whom are employed in the education sector. It was hypothesized that there would be a number of cultural challenges facing Irish educators in the Greater Vancouver area, with some challenges unique to the education sector. The results reflected the main challenges were adjusting to the cost of living in Vancouver, experiencing loneliness and isolation in Vancouver and struggling to cope to the levels of Catholicism in Catholic schools. The study also collected data on advice for any Irish educators seeking to move to Vancouver and what challenges they should consider prior to moving to the West Coast.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.628
Threshold uncertainty score0.537

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.029
GPT teacher head0.227
Teacher spread0.199 · 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 designNot applicable
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

Citations0
Published2021
Admission routes1
Has abstractyes

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