Construction and Mediation of the “Other†in Community-Engaged Scholarship: The Importance of Not-Knowing
Bibliographic record
Abstract
In this paper I share and analyze a subset of findings from a qualitative research study on community-engaged scholarship in Canada. I explore how engaged scholars participating in the study conceptualize community in their engagement experiences. I suggest that in articulating their work, participants depict the contradictory tensions of constructing community as an Other in a way that reflects the dominant European legacy of colonial relations while at the same time leaning towards forms of interaction that are decolonial and challenge this model of colonial relations. This leaning is important and, as I will argue, needs to be nurtured if engagement in Canada is going to escape the pragmatic instrumentalism that marks much of engaged scholarship and if Canadian scholars are going to relate to partners in truly reciprocal and equitable ways.
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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 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.113 |
| Scholarly communication | 0.022 | 0.014 |
| Open science | 0.003 | 0.022 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".