Marching in the Glory: Experiences and Meanings When Working for a Sport Mega-Event
Bibliographic record
Abstract
Sport mega-event organizing committees have three uniquely challenging characteristics: They grow rapidly; they are temporary; they are accountable for event symbolisms. Effects of these characteristics are examined via participant observation and in-depth interviews with twelve lower-level employees of the Beijing Organizing Committee for the Olympic Games (BOCOG) two years before the Beijing Olympics. Four themes about their working lives were identified: The daily work is mundane; BOCOG is bureaucratic; privilege has its privileges; my immediate working environment nurtures me. The mega-event context was also important; workers described it using: The Olympics are great and grand; the Olympics are valuable for China; the Olympics illustrate the challenges that China faces in the 21st century; BOCOG is uniquely high profile; BOCOG helps us to understand Chinese society. Employees used four themes to describe the coping strategies they applied to manage the challenges of working for the organizing committee: I have to confront or adjust; my work at BOCOG allows me to develop myself; working at BOCOG represents a passionate life with idealism; I get to be part of history. Findings suggest that social support, the symbolic significance of the event, and learning through event work mitigate the stresses of working to host a mega-event. Future work should examine the workers’ lives longitudinally over the lifespan of an organizing committee to delineate the dynamics of meanings and experiences in mega-event work.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".