Applying Self-Directed Groupwork and Social Action Research Methodology with francophone parents of trans children and youth in Rural Quebec
Bibliographic record
Abstract
Parental support is an important protective factor in preventing suicide among trans youth. However, parents often struggle to accept their child’s gender transition. Having access to a group and to meeting other parents facilitates the acceptance process, but support groups are rare and even more so outside urban areas. The research project discussed in this article was developed to understand specifically the experience of parents of francophone trans youth living in rural and remote communities in Quebec. A Self-Directed Group approach (Mullender, Ward and Fleming 2013), combined with Social Action Research (Author et al. 2015) was initiated to offer a platform for parents to explore the specificities of parenting a trans child in rural francophone Quebec. Parents were recruited through social and traditional media and a series of group meetings was planned to collect data and as well as to facilitate the parents' mobilization. Despite applying the Self-Directed Groupwork principles and process, many challenges were encountered, stimulating a number of reflections on the use of self-directed group work and social action in remote geographical areas. This paper explores some of those challenges and discusses a possible way forward for research.
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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 | 0.014 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".