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Record W3123654359

Changing the Norm: Positive Duties in Equal Treatment Legislation

2006· article· en· W3123654359 on OpenAlexaboutno aff
Sandra Fredman

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicDiscrimination and Equality Law
Canadian institutionsnot available
Fundersnot available
KeywordsDiscretionPoliticsLegislationNorm (philosophy)Political scienceLaw and economicsStrengths and weaknessesContext (archaeology)BusinessPsychologySocial psychologyEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

This paper assesses the emergence of a new proactive model to achieve gender equality, and compares it with the more established complaints led model based on individual rights. While transcending many of the weaknesses of the individual complaints model, the proactive model remains ambiguous in many crucial respects, particularly as to its objectives, its use of participation, and how compliance is to be achieved. The paper aims to shed more light on these key aspects by drawing on the experiences of such models in Canada, Northern Ireland, Britain, and the EU itself. This demonstrates that the location of proactive strategies on the borderline between law and politics makes them highly dependent on political will. The key challenge is therefore to ensure that proactive strategies are based on a recognition that equality is a fundamental right, not a discretion, without reverting to individualised complaints mechanisms with all their inbuilt weaknesses. I conclude by considering how we might achieve a fundamental and non-derogable core of rights within a proactive model. Two different models are emerging for the achievement of equality: an individual complaints led model based on a traditional view of human rights; and a proactive model, aiming at institutional change. This paper aims to compare and assess these two models in the context of the EU. I argue that while the proactive model has important advantages over the more established individualised model, its weakness lies in its basis in policy rather than fundamental rights. This leaves proactive models highly dependent on political commitment and vulnerable to the vagaries of political change. The key challenge is therefore to ensure that proactive strategies are based on a recognition that equality is a fundamental right, not a discretion, and to structure the duty round the concept of a fundamental right, without reverting to individualised complaints mechanisms with all their inbuilt weaknesses. In the first part of the paper, I examine the traditional model of individual rights, highlighting its weaknesses in the context of gender equality. Part II examines the newly developing proactive model and the particular challenges it poses. This section draws on the experience of other jurisdictions to substantiate the points. I focus in particular on pay equity legislation in Canada, the race equality duty in Britain; the fair employment legislation and positive duty on public authorities in Northern Ireland; and the Open Method of Coordination in the EU as it relates to employment and social inclusion. I consider three particular aspects of the model: namely, its aims and objectives; the role of participation; and regulatory and compliance mechanisms. Part III turns to the role of each model within EU law. The first approach is found within the traditional lexicon of Treaty provisions and directives, covering both equality as such and flexibility. The second approach is found in policy documents, and soft law, and has flourished in the moist soil of the new methods of governance so popular in current EU structures. I will look particularly at gender mainstreaming and the European Employment Strategy (EES). This section highlights some of the weaknesses in these strategies, in particular the ambiguity as to aims and objectives, and the difficulties experienced in separating strategies from outcomes. I conclude by considering how we might achieve a fundamental and non-derogable core of rights within a proactive 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)0.035
metaresearch head score (Gemma)0.037
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 score0.035
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.037
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0130.068
Scholarly communication0.0170.017
Open science0.0030.017
Research integrity0.0120.012
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 head0.044
GPT teacher head0.338
Teacher spread0.293 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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