Desistance and social marginalization
Bibliographic record
Abstract
This paper examines the issue of desistance by considering the relationship between societal constraints and individual choices in the process of moving away from crime. The question of the distribution of those opportunities and resources to support desistance is raised within the context of a specific population—Aboriginal peoples of Canada. The impact of colonization resulting in economic and social marginalization, high rates of incarceration, and the generational transmission of trauma related to the experience of residential schools are factors which are related both to individual choice and external societal constraints. Structure, culture and biography are factors which must be addressed in the case of members of a marginalized population who wish to follow a path of desistance. The opportunity to participate in a community-based program that provides social capital in the form of marketable skills, connections to the wider society and personal healing through the reacquisition cultural traditions is seen as one way to overcome structural constraints while at the same time supporting an individual decision to desist from crime.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.035 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".