Amadeusz’s Prosper: Effective Reintegration of Adults Facing Firearm-Related Charges in Ontario, Canada
Bibliographic record
Abstract
This study evaluates the impact of Amadeusz’ Prosper program which supports individuals with firearm-related charges between the ages of 18 to 29 in Ontario, Canada. Prosper offers intensive case management through caseworkers who co-create tailored support plans with participants based on their immediate needs and long-term goals. The program supports individuals during incarceration and post-release once back in community. This study engaged 44 participants through interviews conducted between October 2022 and April 2023. Participants included program beneficiaries (n=29), family members (n=8), community partners (n=4), and caseworkers (n=3). Intersectionality and Critical Race Theory paradigms were applied as part of data analysis to uncover the program's impact, strengths, and barriers in implementation. Results showed a correlation between the program and positive outcomes in personal development, well-being, and reintegration of participants. Overall, the study contributes to filling in the research gap offering nuanced insights into how to support individuals with firearm-related charges in Canada as part of offering more effective reintegration supports and reducing recidivism.
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 | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".