The Case-Law Concept of Reasonable Accommodation: The European Court of Human Rights Facing the Governance of Cultural and Religious Diversity in the Public Space
Bibliographic record
Abstract
This chapter deals with the legal concept of reasonable accommodation, presenting in a novel way a topic that is not covered in the Spanish doctrine. It analyzes the development of this notion in the jurisprudence of the Supreme Court of Canada and the recent introduction in the European Court of Human Rights, in which some judges have made an explicit reference to this technique and call for their use. The duty to accommodate or adjust is the duty, under the law that managers of institutions and public and private organizations have in order to avoid any form of indirect discrimination for minorities and majorities, taking different harmonization adjustments in the application of certain laws or certain regulations, making norms more flexible or adapting them in its implementation. This allows a fairer management of cultural and religious diversity in public space, according to an intercultural model led by the Council of Europe.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.020 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".