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Record W4396673988 · doi:10.1080/09695958.2024.2347390

“I’ve never met a barrister that sounded like I do”: accents, barristers and Bourdieusian capital

2024· article· en· W4396673988 on OpenAlexfundno aff
Natalie Braber, Jane Ching, Jane Jarman, Jeremy Robson, Olivia Stevens

Bibliographic record

VenueInternational Journal of the Legal Profession · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
FundersTrent UniversityNottingham Trent University
KeywordsHabitusSociologySocial capitalSocial psychologyCultural capitalPsychologyLawPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Use of Received Pronunciation (RP) is a proxy for particular kinds of elite social capital, but it is also a professional norm and part of the Bourdieusian habitus of the Bar. This article uses the first empirical study of accent discrimination in relation to barristers in England and Wales as a basis for a theoretical consideration of the interaction between barristers and others: clients, jurors, judges and other barristers. In particular it evaluates ways in which understandings about accent, as a facet of social or cultural capital, impact on individual career decisions. It concludes that while considerable progress has been made on diversity of the profession, targeted action by the regulator and the profession is required to address perceptions of discrimination (and manifestations of discrimination itself) in a profession to whose activities speech is foundational.

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 score0.500
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.338
Teacher spread0.323 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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