Can University/Community Collaboration Create Spaces for Aboriginal Reconciliation? Case Study of the Healing of The Seven Generations and Four Directions Community Projects and Wilfrid Laurier University
Bibliographic record
Abstract
In this article, the authors attempt to illustrate how two Aboriginal community-based projects were conceptualized and developed through the collaborative efforts of four individuals who believed in the merits of a project aimed at survivors and intergenerational survivors of the residential school system as well as Aboriginal people in trouble with the law. Drawing upon a small body of literature on university/community collaboration, the authors illustrate the importance of meaningful collaboration between universities and communities in order to enhance a mutually beneficial relationship conducive to community-engaged scholarship. Through an examination of the case study of the Healing of The Seven Generations Project and the Four Directions Aboriginal Restorative Justice Project, the authors hope to illustrate to fellow Aboriginal colleagues in Canada the merits, strengths and challenges of university/community collaboration. Ultimately, what the authors hope to share through this article is an example of how university/community collaboration can create spaces whereby Aboriginal people have become agents of their own healing.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.045 | 0.013 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".