Amending Youth Justice Policy in Canada: Discourse, Mediation and Ambiguity
Bibliographic record
Abstract
In postmodern democratic societies, mediation of diverse discourses on critical social issues has become an essential means by which states legitimate social policy formulation. Yet because discourse can serve as an instrument of both power and resistance, mediation is a process that often entails language that is ambivalent and simplified. In Canada, since the mid‐1980s successive federal governments have attempted to mediate debate concerning amendments to the Young Offenders Act through a series of parliamentary hearings. Analysis of the transcripts of hearings that were held immediately prior to Bill C‐37, the last set of legislative amendments to the Act which were enacted in 1995, has revealed the prominence of the language of rationalisation, polarisation and over‐simplification. As such, the hearings and subsequent passage of the amendments did little to reduce the ambiguity and contradictions of Canada?s youth justice policy.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".