Growing Up with Expectations. Better Understanding the Expectations of Community Partners in Participatory Action Research Projects
Bibliographic record
Abstract
This paper challenges the assumption that youth and youth agencies are in a condition of equality when entering a participatory action research (PAR). By asserting that it is not a state of equality that practitioners nor youth should assume nor be immediately striving for, but a consistently equitable process, this article draws from and reflects on the relationship between young people and researchers who have used a PAR methodology in action oriented projects. Using the UNESCO Growing up in Cities Canada project as a case example, this review extrapolates from and reflects on challenges faced by the project as a whole. Using semi-structured interviews to explore the roles of adults and youth, a number of strategies are highlighted as the techniques used to overcome these challenges. The discussion concludes with further reflection on the complexities of equality and equity, recommending a number of actions that have the potential to create an equitable environment in PAR projects similar to the one examined.
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How this classification was reachedexpand
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 | 0.011 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".