Bibliographic record
Abstract
Is the universality of human rights, such as those set out in the United Nations Convention on the Rights of Persons with Disabilities, incompatible with therapeutic strategies of respecting cultural differences? I show that universalism is essential to the notion of human rights, as well as the rarely explained, political slogan of 'the rights approach to disability'. Similarly, culture responsiveness is commonly defended by therapists. I argue that the conflict between universalism of rights and cultural sensitivity exist only if these positions are expressed in extreme form: rights absolutism and cultural relativity. If more sensibly spelled out--in the form of progressive realisation of rights and situational sensitivity of difference--there is no conflict at all. Indeed, these more reasonable positions are mutually supportive. I conclude that, given resource and other constraints, the realisation of human rights will always be a matter of political negotiation, and that a social commitment to equality demands that we ensure that only transparent, fully-informed and fully-participatory procedures, respectful of difference [are employed]. These principles should guide us when we have to make hard choices in the implementation of human rights.
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 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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.019 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 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".