Diaspora Walks: Small Lessons in Unlearning
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 essay is a thought experiment that explores walking’s potential in enacting recognition of Indigenous and territorial lands with the hope of rendering pedagogies of citizenship anew. More precisely, I ask whether walking can offer everyday lessons in unlearning Canada’s settler colonial frameworks of citizenship. This essay, attempting to respond to the question, also hopes to add to conversations in diaspora studies and the ways diaspora performance studies can learn from Indigenous recognition and care of territorial lands as relations and Indigenous methodological interventions to unsettle colonialism. Using a feminist and critical Muslim studies positionality, I bring together research in performance studies, walking methodologies, and politics of diasporic subjects in order to explore how walking as an everyday and citational form might offer diaspora subjects affective ways to home in on a relational politics.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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