Beyond Olympic Legacy: Understanding Paralympic Legacy Through a Thematic Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Over the last decade a great deal of work has examined major sport event legacies and event leverage. Much of this work has involved Olympic studies and this paper seeks to add to the body of knowledge surrounding major sport event legacies by examining the largely overlooked area of the Paralympic Games. The Paralympic Games are the second largest multisport event after the Olympic Games depending upon which parameters are used and since Sydney 2000 there has been an ‘operational partnership’ where bid cities are required to host both Games. Yet, few studies have evaluated the comparative outcomes, legacies and event leverage that Paralympic games have generated. This paper addresses this absence by conducting a thematic analysis of Paralympic legacy research. The thematic analysis used a combination of keywords involving event legacy across 13 major academic databases. Of the 43 articles identified as having Paralympic legacy related content only 13 articles empirically investigated Paralympic legacy. In reviewing the research, it is noted that the bulk of the research has focused on Summer Paralympic Games with little interest in the Winter Paralympic Games. The major findings for legacy-based research include: infrastructure; sport; information education, and awareness; human capital; and managerial changes. However, while these findings may seem congruent with major event legacies frameworks conceptually, an examination of the detailed findings shows that Paralympic legacy research is isomorphic and adds a new component to existing legacy dimensions.
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.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it