Youth Justice Challenge: Parkside High School Proposal Summary
Bibliographic record
Abstract
Over the past year, student members of the Parkside Against Violence committee (PAVEAT) witnessed countless acts of violence, bullying and harassment. Consequently, it became evident that Parkside High School needed practical solutions to dealing with difficult social situations. By entering the Canadian Justice Department's Youth Justice Challenge, Parkside was given the opportunity to obtain the funds necessary in order to develop these initiatives into a school-wide anti-violence program. As the first place winner of the provincial competition, a total of $9,000 will be provided for Parkside's project, distributed over the next two years. The Youth Justice Challenge plan for 2003-2005 will focus primarily on bullying prevention. It will be implemented by PAVEAT, which consists of approximately twenty students in Grades 9-12 who meet regularly to work towards the eradication of violence. The project was developed by the 2002-2003 president, Eva Treumuth, with the assistance of the then vice-president and current president, Correen Smith.
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.005 | 0.009 |
| Research integrity | 0.021 | 0.010 |
| Insufficient payload (model declined to judge) | 0.073 | 0.015 |
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".