Organization of volunteers in the Czech House during The Summer Olympic Games in London
Bibliographic record
Abstract
Title: Organization of volunteers in the Czech House during The Summer Olympic Games in London Objectives: The thesis is focused on issues of choice and management of volunteers for the Czech House in London, which was the main meeting place for fans and athletes and also the place for public presentation of the Czech Republic during the Summer Olympic Games 2012. The aim is to describe the organization of volunteers and to suggest changes that could be utilized in the next years or when working with volunteers during similar events. Methods: The information have been obtained by the interview with the chief coordinator of volunteers, informal interviews with volunteers and my own experience as an volunteer in the Czech House (observation). Results: The methods used have brought enough information to create a complete description of the organizational system of volunteers in the Czech House. The segmentation on individual personnel actions contributed to the clarity of this description. For most of the actions there was a relevant content from the organizational system of volunteers. The use of this organizational system brought only few problems and that is why it could be recommended to other organizers of sporting or similar events. For completeness, the solution was designed to avoid such...
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".