Bibliographic record
Abstract
In the Exchanges, we present conversations with scholars and practitioners of community engagement, responses to previously published material, and other reflections on various aspects of community-engaged scholarship meant to provoke further dialogue and discussion. In this section, we invite our readers to offer their thoughts and ideas on the meanings and understandings of engaged scholarship, as practiced in local or faraway communities, diverse cultural settings, and in various disciplinary contexts. We especially welcome community-based scholars’ views and opinions on their collaborations with university-based partners in particular and engaged scholarship in general. In this issue, we profile the perspectives of young scholars. Here we feature a conversation between Penelope Sanz, who recently obtained her Ph.D. in Interdisciplinary Studies from the University of Saskatchewan and who serves as the Journal’s pioneering managing assistant, and Jayne Malenfant, a 2018 Pierre Elliott Trudeau Scholar, Vanier Scholar, and Ph.D. Candidate at McGill University in the Department of Integrated Studies in Education. A young engaged scholar working with the homeless in Montreal, Jayne talks about her on-going study on how homelessness impacts young people’s education. She looks at the challenges of accessing educational institutional support, an issue, she says, close to her heart as she was once a homeless youth herself. She reflects on the need for academia to open more spaces for young researchers undertaking engaged scholarship to involve the homeless youths themselves in the search for solutions.
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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 | 0.008 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.233 | 0.083 |
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".