Building equitable community-academic research collaborations: Learning together through tensions and contradictions
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
This article explores the findings from a multi-method study of a community-university research alliance (Assets Coming Together for Youth) that brings together multidisciplinary academics, graduate student research assistants, community stakeholders and youth research interns. The project undertook evaluative and reflexive research to better understand how these different partnership group members experienced the collaborative process. The article draws on focus group discussions with the four stakeholder groups, in-depth interviews with youth research interns and an online partnership assessment survey of partnership group members. Data highlight people’s ambivalence toward the partnership process. Despite a shared desire to collaborate, it is difficult to maintain a process that mobilises the outcomes of collaboration for the mutual benefit of all stakeholders. In this article, we explore three key factors that shape people’s perspectives on the partnership process: historical and institutional relations; structures for communicating across difference; and opportunities for learning. A close examination of these three factors suggests that ongoing opportunities for communication about, and learning from, people’s ambivalence (that is, uncertainty or hesitation) supports a positive and productive partnership process. Keywords: Community-academic research, collaboration, process, equity, learning, youth
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.050 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.014 |
| 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