Peace, Poverty, and Privilege in Secondary School Settings: How Collaborative Research Informs Youth Human Rights
Bibliographic record
Abstract
This paper has its focus on peace, poverty, and privilege in secondary school settings in Ontario. The paper describes a collaborative research/practice network which seeks to enhance public confidence and the importance of a human rights framework for youth in secondary school settings. The research is guided by three principles: changing mindset; shifting practices; fostering youth voice, and parent engagement. By committing to a community of relational knowledge and practice, the network mobilizes knowledge via four intersecting areas of social justice, inclusivity, safe acceptance, and cultural competency. Reporting on evidence-based outcomes, the research identifies the following themes: a) climate, culture, and relationship; b) youth voice alongside caring teachers; c) stigma, image, acceptance, and resilience. Using a 3R narrative framework developed by the author that analyzed the data, the research collaborative informs a systems-based implementation plan based on three pillars of opportunity to: enhance professional practice and knowledge; build a culture of care, and; develop community partnership and relationship. This secondary school research implements deep knowledge and practice to and for wide-ranging school communities as well as for innovative reach in teacher education because it places, for the first time in Canadian poverty-school based research, youth voice at its center.
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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 | 0.077 | 0.067 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.046 | 0.079 |
| Scholarly communication | 0.034 | 0.022 |
| Open science | 0.006 | 0.039 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".