Theorizing and Addressing the Needs of Indigenous Justice-involved Populations: A Systematized Review and Qualitative Investigation of the Responsivity Principle
Bibliographic record
Abstract
The dominant rehabilitation model in Western criminal justice systems, the risk-need-responsivity (RNR) framework, is criticized for disregarding the unique circumstances of Indigenous clients while at the same time under-researched on the very dimension—responsivity—that addresses this kind of tailoring. This dissertation comprises two studies investigating responsive rehabilitation for Indigenous clients from an international evidence base and local practice perspective, structured around two established and two proposed components of the responsivity principle. Study 1 is a systematized literature review of intervention with Indigenous justice-involved individuals in four countries, capturing research published between 1990 and 2022. Using narrative synthesis, I identified key themes emerging from 310 papers: that Indigenous individuals experience certain specific responsivity factors in greater numbers or to a greater degree of severity than the general justice-involved population; that services following the general responsivity principle yield positive results for Indigenous participants; that access to programs may be limited by the remoteness and poverty of Indigenous communities, representing a systemic responsivity issue; and that, at the level of ‘political responsivity,’ Indigenous scholars and communities sharply question state justice institutions and fight to implement locally owned programs under poorly resourced conditions. Study 2 presents the results of interviews with 16 service providers from northern Ontario working with Indigenous justice-involved youth in custody, probation, and community settings. I used thematic analysis to generate themes organized around the four categories of responsivity. Participants reported working in ways highly consistent with specific responsivity elements. On the topic of general responsivity, participants placed the therapeutic alliance at the core of effective treatment, noting the complexity and viability of cross-cultural relationships with Indigenous clients. With respect to systemic responsivity, participants identified remoteness and resource scarcity on reserves as significant barriers to intervention. As regards political responsivity, participants shared concerns about the “revolving door” of justice for Indigenous youth. Poverty, geography, racism, and trauma were significant cross-cutting themes. Together, these papers paint a picture of a highly vulnerable and resilient population that benefits from RNR-consistent individualized and multisystemic care but that enters the justice system with significant challenges and continues to struggle against systemic racism and inequality.
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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 | 0.066 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".