Inclusive by design: transformative services and sport-event accessibility
Bibliographic record
Abstract
This paper examines the service dimensions required to be inclusive of people with access needs within a major-sport event context. The United Nations Convention on the Rights of Persons with Disabilities seeks to counter disability discrimination and enable citizenship rights of people with disabilities, including access to goods and services, across all dimensions of social participation including major-sport events (e.g. Olympic and Paralympic Games, world cups in football, cricket and rugby union). Providing for people with disability and access needs is also an emerging tourism focus with initiatives addressing accessible tourism included in the World Tourism Organizations mission and recent strategic destination plans. To enhance the understanding of service delivery for an accessible tourism market in a major-sport event context, a case study of the Vancouver Fan Zone for the FIFA Womens World Cup Canada, 2015 TM is analyzed through the lens of transformative services. From this analysis future research directions are identified to benefit those with access needs who wish to participate in major-sport events.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.019 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".