Oscar Pistorius and the Future Nature of Olympic, Paralympic and Other Sports
Bibliographic record
Abstract
Oscar Pistorius is a Paralympic bionic leg runner and record holder in the 100, 200, and 400 meters who wants to compete in the Olympics. This paper provides an analysis of a) his case; b) the impact of his case on the Olympics, the Paralympics and other -lympics and the relationships between the -lympics; c) the impact on other international and national sports; d) the applicability of the UN Convention on the Rights of Persons with Disabilities. It situates the evaluation of the Pistorius case within the broader doping discourse and the reality that new and emerging science and technology products increasingly generate internal and external human bodily enhancements that go beyond the species-typical, enabling more and more a culture of increasing demand for, and acceptance of modifications of the human body (structure, function, abilities) beyond its species-typical boundaries and the emergence of new social concepts such as transhumanism and the transhumanisation of ableism.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.015 | 0.031 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| 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".