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Record W3111073269 · doi:10.1017/s1474746421000191

Equality and Devolution in the United Kingdom: A Story in Three Acts and a Sequel

2021· article· en· W3111073269 on OpenAlexfundno aff
Paula Devine, Grace Kelly, Martina McAuley

Bibliographic record

VenueSocial Policy and Society · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
FundersQueen's UniversityQueen's University Belfast
KeywordsDevolution (biology)BrexitKingdomLegislationPolitical scienceCornerstoneRelation (database)PoliticsNorthern irelandGender equalityPublic administrationLawSociologyPolitical economyGender studiesGeographyEuropean unionEconomics

Abstract

fetched live from OpenAlex

Within the United Kingdom (UK), many of the arguments driving devolution and Brexit focused on equality. This article assesses how notions of equality have been shaped over the past two decades. Using a chronology of theoretical, political and public interpretations of equality between 1998 and 2018, the article highlights the shifting positions of Northern Ireland (NI) and the rest of the UK. NI once led the way in relation to equality legislation, and equality was the cornerstone of the Good Friday/Belfast peace agreement. However, the Equality Act 2010 in Great Britain meant that NI was left behind. The nature of future UK/EU relationships and how these might influence the direction and extent of the equality debate in the UK is unclear. While this article focuses on the UK, the questions that it raises have global application, due to the international influences on equality discourse and legislation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.457

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0320.030
Scholarly communication0.0160.008
Open science0.0020.015
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.0040.001

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 head0.096
GPT teacher head0.376
Teacher spread0.280 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2021
Admission routes1
Has abstractyes

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