Refugee memory-making: Decolonial counterstories from Eelam Tamil and Vietnamese communities
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
Between the Eelam Tamil genocides (1983–2009) and America’s military intervention in Vietnam (1955–1975), Eelam Tamil and Vietnamese refugees fled to North America, forming their largest diasporas in Toronto and Orange County. This article critically juxtaposes how these communities engage in memory-making as a part of place-making and vice versa. Grounded in critical refugee studies, we as scholar-organizers from these communities, use a comparative case study approach drawing on interviews with 12 Eelam Tamil individuals in Toronto and 20 Vietnamese individuals in Orange County. We theorize a refugee praxis of care and healing that resists displacement and state-sanctioned violence. Our analysis reveals how memory-making serves both as resistance to erasure and as a way of healing wounds of displacement, while igniting critical consciousness that bridges generations. This article highlights decolonial methods of community-engaged research, emphasizing refugee counterstorytelling as a site of knowledge production and solidarity between diasporic communities.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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