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Record W7034895555

Why equality law and Deaf people don’t get on: developing Deaf Legal Theory

2017· other· en· W7034895555 on OpenAlexaboutno aff

Bibliographic record

VenueORCA Online Research @Cardiff (Cardiff University) · 2017
Typeother
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsConvention on the Rights of Persons with DisabilitiesHuman rightsJurisprudenceSubject (documents)Presentation (obstetrics)ConventionInternational lawInternational human rights law
DOInot available

Abstract

fetched live from OpenAlex

This presentation will introduce my doctrinal and socio-legal doctoral thesis, which is understood to be the first doctoral thesis on the subject of Law as it relates to Deaf people in the UK and possibly internationally, exploring the possible solutions to the conflict between equality law (which categorises Deaf people as disabled) and the Deaf identity, and how its findings contribute to the development of Deaf Legal Theory, originally penned by Bryan and Emery. Bryan and Emery argue that for Deaf jurisprudence to develop, the current underpinnings of law are based on incomplete assumptions which need to be exposed. Thus, I will attempt to expose equality law’s incomplete assumptions of Deaf people, and how this exposure contributes to the development of Deaf Legal Theory. At present, equality law on a domestic, European and international level currently provides Deaf people with human rights and protects them from discrimination. However, with the limited exception of the United Nations Convention of the Rights of Persons with Disabilities (CRPD), these rights are given to Deaf individuals as disabled individuals, rather than as Deaf individuals. This is essentially what I refer to as the ‘Deaf Legal Dilemma.’ The British Deaf Association espouses that “equality is what it stands for”, and on the international stage, the World Federation of the Deaf highlights that one of its most important priorities in its work is to ensure human rights for Deaf people all over the world, in every aspect of life. Thus, it would appear that what Deaf people want above all is equality. There is no initial agreement among scholars as to what the important questions are, and McIntyre J, speaking for the Supreme Court of Canada in Andrews v Law Society of British Columbia remarked that “more than any of the rights and freedoms, [equality] lacks precise definition”. Nonetheless, I have attempted to make sense of equality law, and relying on Westen’s precepts of equality and McLachlin’s “emerging rocks of certainty,” present three categories of equality: formal, substantive and transformative, within which the various concepts of equality can be categorised accordingly. It is clear from this exercise that transformative equality is the most appropriate approach for Deaf people to achieve equality in their own right as Deaf individuals rather than as disabled individuals. Having established which approaches to equality law are most relevant to Deaf people, a doctrinal approach is to be undertaken with regard to the Universal Declaration of Human Rights, European Convention for Human Rights, the Equality Act 2010 and the UNCRPD, as well as the British Sign Language (Scotland) Act 2015, to establish their main provisions that apply to Deaf people and a critique of each in relation to the Deaf identity, and other factors such as enforcement mechanisms. Initial findings as to the potential solutions to the Deaf Legal Dilemma in relation to equality law at present are wider use of the CRPD, the widening of the social model of disability, sign language recognition, and/or reverting to the social welfare model.

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)0.021
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.026
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0140.065
Scholarly communication0.0160.032
Open science0.0030.013
Research integrity0.0130.016
Insufficient payload (model declined to judge)0.0080.001

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 head0.062
GPT teacher head0.350
Teacher spread0.288 · 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 designTheoretical or conceptual
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

Citations0
Published2017
Admission routes1
Has abstractyes

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