A framework for entry: PAR values and engagement strategies in community research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this article is twofold: to explore the entry process in community-based research when researching sensitive topics; and to suggest a framework for entry that utilises the values of participatory action research (PAR). The article draws on a collaborative community-university research study that took place in the Waterloo and Toronto regions of Ontario, Canada, from 2005–2010. The article emphasises that community entry is not only about recruitment strategies for research participants or research access to community but it is also concerned with the ongoing engagement with communities during various stages of the research study. The indicator of success is a well established and trusted community-researcher relationship. This article first examines this broader understanding of entry, then looks at how community research entry can be shaped by an illustrative framework, or guide, that uses a combination of participatory action research (PAR) values and engagement strategies. Key words: research entry, community engagement, participatory action research, mental health and cultural diversity
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.105 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.033 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it