Living on the Global Peripheries of Law: Disability Human Rights Law in Principle and in Practice in the Global South
Bibliographic record
Abstract
This article develops the notion that poorer nations of the Global South are particularly disadvantaged in terms of realizing disabled people's human rights in practice. This is because they are situated in what is termed the global peripheries of law. These are peripheries in which very limited human and financial resources are available to practically realize disability human rights (reflecting processes such as the outmigration of trained professionals, devaluation of currency as a condition of debt repayment, and dependence on agricultural exports and imports of expensive manufactured goods, including medicine, from the Global North). Being on the global peripheries of law also reflects legacies of colonial and neo-colonial violence and oppression in an unequal global capitalist order, such as ongoing and widespread violence against women and unsafe working conditions—both of which result in death and the geographically uneven production of impairment. This uneven production of impairment also needs to be considered as an important part of understanding disability human rights law in a global context. Following a brief overview of the U.N. convention on the human rights of disabled people and the U.N. Covenant on Economic, Social and Cultural Rights to provide a global legal context and of the Inter-American Human Rights System to provide a regional legal context, the article illustrates why it is so difficult to realize disabled people's human rights in practice in the Global South, through a case study of Guyana.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.061 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".