Building public policy to support young people in reducing alcohol-related harm when partying at Schoolies Festivals
Bibliographic record
Abstract
Mass gatherings such as Schoolies Festivals are often situated in existing communities. Schoolies Festivals are generally unbounded, transient mass gathering events that are situated within various coastal communities around Australia. Mass gatherings are traditionally examined as separate case studies or through using a mass gathering framework to assess patient safety. However, mass gathering frameworks and single case studies do not go far enough to examine events such as Schoolies Festivals. Schoolies Festivals often consist of a bounded ticketed dry zone for night time activities, surrounded by open dry zones, which are an unbounded part of the general community social space and can include hotels, caravan parks and the local community services. We believe that the Ottawa Charter provides the necessary broader lens through which to examine the safety of young people participating in Schoolies Festivals. The Ottawa Charter views health in terms of the whole population and although developed in 1986, maintains its relevance in contemporary social and health contexts. As a primary health care framework, the Ottawa Charter provides researchers and policy makers with the capacity to think 'outside the square' to develop strategies to prevent harm for young people attending such events. In addition the Ottawa Charter is a useful framework as it views the health of whole populations and maintains its relevance today. Through examining the needs of the community through a primary health care framework, the interface between the Schoolies event and the wider community can be examined to address some of the underlying structural factors that contribute to the safety of young people at Schoolies Festivals.
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.
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 | 0.024 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.004 | 0.020 |
| Research integrity | 0.018 | 0.014 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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".