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Record W1599648220 · doi:10.17159/obiter.v33i3.12131

MUTUAL ACCOMMODATION OF RELIGIOUS DIFFERENCES IN THE WORKPLACE – A JOSTLING OF RIGHTS

2021· article· en· W1599648220 on OpenAlexaboutno aff
Radley Henrico

Bibliographic record

VenueObiter · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicReligion, Gender, and Enlightenment
Canadian institutionsnot available
Fundersnot available
KeywordsAccommodationDutyReasonable accommodationLegislationJurisprudenceLawPluralism (philosophy)Labour lawDemocracyPolitical scienceLaw and economicsDiversity (politics)PhenomenonSociologyBusinessPsychologyPhilosophy

Abstract

fetched live from OpenAlex

In and of itself a constitutional democracy is meaningless. It is the extent to which our rights as individuals in a pluralistic society are given effect and respected that brings to life the constitutionally enshrined values and principles. Religious diversity in a secular society acts as a catalyst of ingredients for conflict in the workplace. Specific legislation has been enacted to give effect to the right against unfair discrimination. Our courts have implemented and interpreted such equality legislation as imposing a duty of accommodation on the employer with regards to the employee’s religion. Our labour-law jurisprudence on transfers of business has recognized a duty offairness that cuts both ways in favour of the employee and employer. In operational requirement exercises the co-operation of both parties is required. In Canada, a duty of mutual accommodation has been utilized in religious discrimination cases. The current duty of accommodation should be extended to include a duty of mutual accommodation given that religious pluralism is a phenomenon affecting both employee and employer, thus enjoining both parties to engage in realistic measures to embrace diversity.

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)0.013
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0090.035
Scholarly communication0.0060.006
Open science0.0010.015
Research integrity0.0030.006
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 head0.038
GPT teacher head0.237
Teacher spread0.199 · 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 designNot applicable
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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