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Record W2920929663 · doi:10.25071/1705-1436.96

The Problems and Experiences of Ethnic Minority and Migrant Workers in Hotels and Restaurants in England

2007· article· en· W2920929663 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJust Labour · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupHarassmentPromotion (chess)ImmigrationMigrant workersSociologyDemographic economicsPolitical scienceEconomic growthLawEconomics

Abstract

fetched live from OpenAlex

While working conditions in hotels and restaurants are known to consist of low pay, low status, exploitation of employees and lack of unionisation, little has been written in the UK about the specific experiences of ethnic minority and migrant workers. The article is based on research into the problems and experiences of ethnic minority and migrant workers in hotels and restaurants in three regions of England, consisting of in-depth interviews with 50 ethnic minority and migrant workers, plus additional key informant interviews. It argues that issues such as low pay, long hours, bullying, racial harassment, lack of opportunities for promotion and discrimination are problems affected by, or compounded by, respondents' ethnic backgrounds or migrant status. The article concludes that three key factors serve to differentiate the experience of ethnic minority and migrant workers in the sector: immigration status; working in the informal sector; discrimination in the labour market and employment

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.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.037
GPT teacher head0.309
Teacher spread0.272 · 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