Learning to commemorate: Challenging prescribed collective memories of war
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
Remembrance Day is an annual Canadian commemorative event that is connected to the ways in which wars are remembered worldwide. At the 11th hour on the 11th day of the 11th month, Canadians pause to solemnly recognise the sacrifice of war veterans. Citizens learn how to remember past and current wars, in part, through their interactions with the education system. In this article, we explore how Remembrance Day is represented in Ontario curriculum documents, a national government guide, and alternative non-governmental resources, arguing that official war remembrance is too often militarised and masculinized in ways that work to exclude those who do not fit into a specific Canadian ideal as represented through a prescribed collective memory. In order to help students become critical citizens, it is important to problematize how specific forms of collective memory are reproduced every Remembrance Day.
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) | 0.000 | 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