Bibliographic record
Abstract
Raves are exclusive, private parties, usually held in the late evening at undisclosed locations, where people, referred to as ravers, come together to experience sensory art, dance, and music. Ravers can also use Club Drugs, such as speed, Special K and ecstasy. The accessibility of drugs is regarded as safe among the rave community because of the understanding between participants to use them responsibly for heightened perception. However, inexperienced ravers may not follow the same code, and drug use leads them to risky behaviors and potential overdose. Many of the drugs are illegal and may be mislabeled, which can cause adverse reactions and death. DanceSafe and the Toronto Raver Information Project were formed by ravers to address safety perception problems with these parties. The groups distribute factual information on drugs and risks for contracting HIV through unprotected sex, and also dispense condoms. Additionally, the DanceSafe booth provides sober volunteers who can assist and counsel ravers who are having trouble during the party and beyond. The intention of these groups is for harm reduction and support for ravers by ravers who present no threat or bias.
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 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 | 0.000 | 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) | 0.001 | 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".