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Record W6996140159

Reasonable accommodations, proportionality and the role of the judge

2015· article· en· W6996140159 on OpenAlexaboutno aff

Bibliographic record

VenueLirias (KU Leuven) · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsnot available
Fundersnot available
KeywordsObligationReasonable accommodationDutyProportionality (law)LegislatureDirectiveAccommodationOrder (exchange)Legal researchInterpretation (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

The central concept of this research project is the 'reasonable accommodation duty'. It is a legal obligation that originated in the USA and has found its entry into the Belgian legal system through EU Directive 2000/78. In the employment sphere, the reasonable accommodation dutyrequires employers to take the necessary measures to attenuate the hindrances people with disabilities face in order to allow them to fully participate in the workforce. Examples are: lowering thresholds, changing work schedules, supplying language interpreters etc. In some legal systems, the duty exists in other contexts as well, for example in education, health care, cultural life etc. Courts seem to struggle with the concept because the legislature gave little guidance concerningthe application. The concept is vague which makes it inaccessible to persons with disabilities and legal practioners. As a result of this, an individual with a disability often does not receive the protection he is entitled to. The goal of this research was to find a workable interpretation of this duty in order to substantiate the obligation that already exists. The research is based on a combination of the relevant legal theory and comparative research on the legal practice in a selection of legal systems and instruments. Firstly the reasonable accommodation duty, its sources, the conditions, the exception of the disproportionate burden, the procedural rules and the legal consequences of a breach weredescribed for a number of legal instruments and systems: the UN Convention on the Rights of Persons with Disabilities, US, Canada, EU, Netherlands and Belgium. Since the reasonable accommodation duty ispart of the right to equality, the research focused in Part II. on the different theories concerning equality and the way in which the theory is reflected in the reasonable accommodation duty. The different theoriesconcerning disability were also explored and connected to the reasonable accommodation duty. Part III. contains a discussion of the proportionality analysis which clearly underlies the considerations concerning reasonable accommodations and the exception of the disproportionate burden. The starting point is the general proportionality analysis as described by Alexy innbsp;'A Theory of Constitutional Rights'. To increase the predictability of the analysis, a catalogue is formed of factors that according to the relevant caselaw are regularly weighed when considering a reasonable accommodation. In addition the duties of the parties in the prelitigation phase as well as in court are explained in relation to the explicit application of the proportionality analysis. In Part IV. the role of the judge in this matter was clarified.The limits to a judge's duties were explored in this matter. The discussion concerned among others the acceptability of implications of a decision for legal actors who were not a party to a case and the extent to which the judge can order redress. These limits were seen as the borders of a judge's authority. Within these limits, the intensity of the test can vary. In an attempt to increase the predictability of the proportionality analysis even more, the factors that can influence the intensity in the matter of the reasonable accommodation duty, and the way a judge chooses his position because of these factors, were discussed and clarified. The research project resulted in normative conclusions with relevance for the Flemish, Belgian and European legal order, which were formulated in Part V.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score0.171

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.237
Teacher spread0.226 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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