It's classified: Classification, disability rights and Commonwealth Games
Bibliographic record
Abstract
Sport events are often held up as opportunities to showcase excellence and further access to sport participation. The ethos of accessibility has come to the forefront of many events, but none more so than the Commonwealth Games (CG). CG uses the ethos of inclusivity to bring the Commonwealth (CW) community together and utilizes sport to celebrate, uphold and drive its vision and values: Humanity, Destiny, Equality. However there remain significant gaps in participation opportunities and the realization of equality through CG, particularly for lower resource CW nations. CG is also the only global multisport event that integrates athletes with disabilities (para sport athletes), and yet there persist significant constraints to the creation of equitable opportunities for full participation for many para sport athletes. Shalala wrote "How can you effectively achieve integration (during CG), while ensuring the gulf between the best and the rest doesn't become a seismic divide?" We echo Shalala's concerns. Through this review we intend to examine sport classification as exemplary of the opportunities and hindrances for CG to actualize their values of "equality, humanity and destiny" for para sport and athletes, specifically from developing CW nations, and guard against the growing chasm "between the best and the rest". Of significance, we consider, through a human rights lens and the concept of structural violence, the impact of sport classification on the integration of para sport and athletes at CGs, and the future of Commonwealth-wide participation and the integrated model itself.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".