Antiracism in appreciative inquiry: Generative tensions and collective reflexivity
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
Appreciative inquiry is an action research methodology focused on revealing an organization's positive core. As a cross-racial team of antiracist researchers, we were drawn to appreciative inquiry due to its congruences with community-based research perspectives on power-sharing and co-constructing knowledge. Our collaborative reflexivity brought us to question whether Appreciative inquiry's hyper-focus on positivity would fit our antiracist research paradigm. We articulate reflections of how antiracism theory informed our approach to Appreciative inquiry in a study on the experiences of predominantly racialized settlement workers in schools during the COVID-19 pandemic. We explain how we negotiated tensions between Appreciative inquiry's focus on positivity and our antiracist framing, in a Canadian settler colonial context where institutional expectations to ignore racism and collapse diversity, loom large. Without a theoretical framework that attends to racism and power, Appreciative inquiry may not fulsomely address participants' transnational knowledges, nor experiences outside of a positive/negative binary. In our elucidation of how critical reflexivity on racism allowed us to integrate antiracism into Appreciative inquiry, we demonstrate the value of first-person action research for expanding the social justice aims of research.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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