Equality and Devolution in the United Kingdom: A Story in Three Acts and a Sequel
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".