COVID 19 - Mass Gathering Events and Attendee Safety Protocol for Turbulent times
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
This paper forwards a psychosocial perspective of event safety management. In a time of social and economic upheaval - exasperated by the Covid-19 pandemic, safety has become increasingly significant in the vocabulary of researchers, managers, funding agencies and public bodies involved in the provision of events. The work documented here appraises the role of those with responsibility in managing people and their safety at mass gathering events, i.e. police, event managers and medical teams. It does so through a focus group review process with members from each of the aforementioned groups, and with reference to the analytical frame of the Ottawa Charter (1986). The work contributes to knowledge of event and crowd management, advancing the concept of transformative civic responsibilities while reframing aspects of the event experience to encourage trust and resilience in both attendees and host populations. The work here acknowledges the importance of mass gathering events (MGEs) at a time of social-economic upheaval following Covid-19.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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