Rethinking Crime, Community, & Justice: A Symposium for Practitioners and Volunteers
Bibliographic record
Abstract
On June 25, 2018 a symposium hosted by Sheridan College in Brampton, Ontario focused on the role of crime, community and justice with an emphasis on the role of the voluntary sector. 80 people were in attendance, including criminal justice practitioners, scholars, voluntary sector practitioners, faith groups and students. Financial support for the event from Sheridan’s Scholarship, Research & Creative Activities fund. Opening remarks were provided by Dr. Mary Louise Noce, Associate Dean of the School of Community Studies. The keynote lecture was delivered by Dr. Philippa Tomczak, on the sociology of the Penal Voluntary Sector. Delegates from academia and practice presented papers on the role of the voluntary sector in the youth and adult systems in Canada. Presenters included Garry Glowacki and his team at the Bridge Prison Ministry, Dr. Rai Reece, Kaitlyn Quinn and Abigail Salole. The symposium was infused by art curated by the Bridge Prison Ministry. Sessions Insight from the Trenches Garry Glowacki, Richard and Natalie, The Bridge Prison Ministry “Horticulture, Healing and Hope”: Examining the Efficacy of Apprenticeship Programs for Incarcerated Women Dr. Rai Reece, Humber College The Politics of helping: Examining divergent practices in the penal voluntary fields Kaitlyn Quinn, University of Toronto It’s Kinda Punishment: Mechanical measures and the legitimacy of youth justice work Abigail Salole, Sheridan College Closing Session: Mississauga’s Poet Laureate Wali Shah
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 | 0.035 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.037 | 0.025 |
| Scholarly communication | 0.019 | 0.016 |
| Open science | 0.005 | 0.025 |
| Research integrity | 0.021 | 0.026 |
| Insufficient payload (model declined to judge) | 0.015 | 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".