Defining National Memories: The Cases of Popular Rebellions in Ireland and Québec
Bibliographic record
Abstract
Abstract While studies on nations and nationalism have brilliantly demonstrated the influence of collective memory on national development, few studies have examined the reciprocity of this relationship. This article is therefore concerned with the laborious processes of memorizing the founding myths of both the Irish and Québécois nations. Indeed, while today the rebellion of 1798 in Ireland and those of 1837–1838 in Québec are central to their respective processes of identity-building, it has not been a calm process; the 1798 rebellion was buried in collective amnesia for almost a century and in Québec, the Patriotes rebellions have constantly moved in and out of collective memory. I argue, in this article, that the unstable definition of both nations harmed the process of remembrance. I am therefore interested in the long and conflicting journey that has enabled the Irish and Québécois nations to define themselves, respectively, by their religion and their language. Through a historiographical analysis of the speeches from several leaders of these two nationalist movements, this article shows how nations define and redefine themselves and how memories are also altered to meet those changes.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.039 | 0.021 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".