Using Participatory Action Research to Create Systematic Parent Engagement
Bibliographic record
Abstract
Despite ample research supporting the value of strong family, school, and community partnerships, few districts or communities have been able to support and sustain systematic parent engagement. This article focuses on the efforts undertaken by a research team in Saskatoon, Canada to develop a model that empowers parents to systematically engage with educators and schools in order to enhance educational and social outcomes for children and parents. Central to this effort has been the use of participatory action research (PAR) as a means to honor and engage the experiences of diverse community members. This article highlights specific PAR methods that supported the development of a more systematic approach to parent engagement. The experiences described demonstrate how the improvisatory and responsive nature of the PAR approach help to both build trust and create more sustainable changes in communities.
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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 | 0.182 | 0.107 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.004 | 0.019 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".