Doing Public Criminology with the Criminal Justice Voluntary Sector: Methodological Reflections and Considerations
Bibliographic record
Abstract
Abstract Criminological literature outlines various roles for public criminologists and reflects on both the form and purpose of public criminology. This article reviews this literature and considers institutional and political activist ethnography as methods through which criminologists can address critique, and better combine social justice research and advocacy work. Such methodological considerations demonstrate that, for some, ‘doing’ public criminology means actively engaging in advocacy work alongside research participants and other activists. Examples and reflections from the author's own work with the criminal justice voluntary sector (CJVS) in Canada demonstrate that a public criminology informed by institutional and political activist ethnography is especially important if we want to: (i) better understand the role of the sector in supporting people with criminal records; and (ii) strengthen the relationship between academics, policymakers, advocates, practitioners, and people with lived experience of criminalisation and punishment.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".