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Record W4400320374 · doi:10.1007/s44282-024-00064-6

Intra-migrant workplace conflict: impediment to improving migrants’ workforce integration

2024· article· en· W4400320374 on OpenAlexaff
Puja Chatrath, Dieu Hack‐Polay

Bibliographic record

VenueDiscover Global Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsCrandall University
Fundersnot available
KeywordsWorkforceMigrant workersBusinessPolitical scienceDemographic economicsEconomic growthEconomics

Abstract

fetched live from OpenAlex

Abstract This study examines the tensions between newcomer migrants and established immigrants in the workforce in the United Kingdom. Semi-structured interviews were conducted with 23 participants in a food-manufacturing company to investigate how solidarity and conflict among groups of migrants impact their ability to integrate into the workplace. The research found that heightened levels of conflict occur between new and long-term immigrants. This engenders segregation as well as discrimination within the immigrant groups, which then hampers their career growth opportunities. The results have important consequences for diversity and inclusion in the workforce. The study shows that diversity needs a greater and wider focus than the current emphasis on the local population vs. immigrant paradigm. More attention should be devoted to tackling tensions between groups of immigrants.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.749
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.014
GPT teacher head0.310
Teacher spread0.296 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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