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Record W4238976769 · doi:10.32920/ryerson.14646990.v1

Hearing Audible Minorities: Accent, Discrimination, and the Integration of Immigrants into the Canadian Labour Market

2021· preprint· en· W4238976769 on OpenAlexaffabout
Alanna MacDougall

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsStress (linguistics)ImmigrationLinguisticsPsychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Accent is a permanent marker of difference for learners of a second language, and may be a barrier to finding appropriate employment. Research on discrimination and accent reveals a widespread belief in the myth of a standard, ideal accent. This has resulted in individuals stereotyping accented speakers and drawing inappropriate conclusions about their language ability, leading to discrimination in both the workplace and broader society. A small study of Ottawa companies conducted for this paper supports the hypothesis that some employers may rely on accent to determine an applicant's English proficiency. Accent discrimination can be addressed by providing employers with information about accent and appropriate tools for language evaluation, confronting the reality of accent discrimination with ESL students, and by broadening the discourse on discrimination as a whole to recognize that minorities can be audible as well as visible.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.246
Teacher spread0.211 · 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.

Study designQualitative
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

Citations6
Published2021
Admission routes2
Has abstractyes

Explore more

Same topicLinguistics, Language Diversity, and IdentityFrench-language works237,207