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Record W2092809200 · doi:10.2966/scrip.050108.139

Oscar Pistorius and the Future Nature of Olympic, Paralympic and Other Sports

2008· article· en· W2092809200 on OpenAlexaff
Gregor Wolbring

Bibliographic record

VenueSCRIPTed A Journal of Law Technology & Society · 2008
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

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 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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0150.031
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.025
GPT teacher head0.366
Teacher spread0.341 · 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 designTheoretical or conceptual
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

Citations52
Published2008
Admission routes1
Has abstractyes

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Same venueSCRIPTed A Journal of Law Technology & SocietySame topicPhysical Education and PedagogyFrench-language works237,207