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Record W1183078413

Responses to Youth Crime in Canada: An Examination of the Micro and Macro Processes Associated with the Tough-on-Crime Legislation

2015· dissertation· en· W1183078413 on OpenAlexfundaboutno aff
Taline Kassabian

Bibliographic record

VenueUWSpace (University of Waterloo) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsnot available
FundersBC Cancer AgencyNational Strength and Conditioning AssociationDiamond V
KeywordsLegislationPolitical scienceCriminologyLegitimacyGovernment (linguistics)LawSociologyPolitics
DOInot available

Abstract

fetched live from OpenAlex

The enactment of tough-on-crime legislation in Canada is questionable given the abundance of research rejecting its underlying premises and goals. While there appears to be ongoing concern in Canada about the tough-on-crime agenda, there is currently a shortfall in information addressing the processes through which Bill C-10 (Part 4) was developed and legislated by the Conservative Government. As such, there is limited data that informs Canadians about the ways in which politicians make meaningful decisions about youth crime policy and legislation. \n\tConsequently, the objective of this dissertation is to provide a better understanding of the individual (micro) and governmental (macro) processes associated with the tough-on-crime approach in Canada, with a specific focus on responses to youth crime. Using a conflict and Marxist/critical perspective (Alvi, 2012; Chambliss & Seidman, 1971; DeKeseredy, 2011; Garland, 2001; Habermas, 1973, 1985; Hall et al., 2013; Quinney, 1970), this dissertation examines the state as a legitimate power and the ways in which it gains and maintains legitimacy. Theorists suggest modern laws work as an instrument of power to reflect the dominant ideology that is reproduced within the social structural system. Thus, this dissertation specifically examines the claim that laws are shaped by a consensus of dominant interests and values that are embodied and preserved in the tough-on-crime legislation, and is ultimately supported by the public. \n\tThis research investigates three central questions: First, what are the processes through which Bill C-10 (Part 4) developed and was legislated? Second, in what way(s) has tough-on-crime legislation been implemented in Canadian youth courts? Finally, how does Texas (United States) differ in their response to youth crime, relative to their model of crime control and placement on the tough-on-crime spectrum? To examine the tough-on-crime approach, interviews were conducted with twenty-two participants who were either involved in the political debates of Bill C-10 (Part 4) or had intimate knowledge of the youth justice system. The interview data were cross-referenced and compared to the applicable parliamentary records in Hansard. Second, a case law analysis was conducted to determine how the tough-on-crime mandate has been implemented within Canadian youth courts (2003-2013). Finally, an analysis of case law in Texas was carried out in order to understand how more punitive jurisdictions respond to youth crime and how their legislation differs from Canada (1996-2013). \n\tThe findings suggest the enactment of the tough-on-crime legislation in Canada was a result of a complex interaction between a number of agencies, institutions, and individuals after the Conservative’s won a majority government in 2011. Moreover, the findings demonstrate the values embodied within the tough-on-crime legislation reflect the dominant (conservative) ideology and served as a means of maintaining legitimacy (Habermas, 1985; Hall et al., 2013). While the Canadian case law did not indicate that youth in conflict with the law were more adversely affected by Bill C-10 (Part 4), there was no evidence to suggest that future substantive changes in practice would not occur. However, marginalized Canadian youth were noted as most likely to be subject to tough-on-crime measures (Alvi, 2012). \n\tThe results from the case law analysis of Texas suggest the state focuses on diversion and rehabilitation, but to a lesser degree than Canada. This is largely due to Texas’ transfer laws or ability to impose a determinate sentence. As a result, there appears to be a disproportionate use of the tough-on-crime legislation in Texas, often affecting minority youth. These findings are not only illustrative of a more punitive model of crime control relative to Canada, but point to the potential dangers of enacting tough-on-crime policies. \nOverall, the implication of the findings from both jurisdictions is that the tough on-crime movement is a way of deflecting unspecified social problems onto youth as marginal political subjects, in an effort to mobilize the political power of the state (Alvi, 2012; DeKeseredy, 2011; Garland, 2001; Hall et al., 2013). In the Canadian context, there is evidence to suggest the state employed both “adaptive” and “non-adaptive” strategies to address the problem of youth crime (Garland, 1996). In effect, the newly enacted tough-on-crime legislation moves Canada further away from a reliance on various collaborative techniques and community based programs, and therefore supports a strong state-centric approach to crime control.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.956

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0180.007
Scholarly communication0.0060.001
Open science0.0020.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.031
GPT teacher head0.261
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes2
Has abstractyes

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