Memory and citizenship in diaspora: remembering the Armenian Genocide in Canada
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 how two public commemorations, the ‘March for Unity’ in Toronto and the ‘Thank you Canada!’ rally in Ottawa, have remembered the Armenian Genocide. Drawing on a qualitative analysis of field notes, speeches, and symbols, it argues that these mnemonic events illustrate the transnationalization of the Armenian Genocide around the overarching theme ‘I Remember and Demand.’ At the same time, these mnemonic events reveal the ways in which transnational memories of the Armenian Genocide are rearticulated in Canada through the prevailing narratives of memory and citizenship. Overall, these commemorations demonstrate that memory is central not only to the construction of Armenian ethnic identity within the constituents of ‘the Armenian Centennial Committee of Canada,’ the organizer of both events, but also to these groups’ and actors’ interpretations and practices of citizenship such as claims-making and public visibility.
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 | 0.000 | 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) | 0.000 | 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