“Alas Poor Ireland!”: British Prejudice, “the Irish Precedent, ” and the Origins of the American Revolution
Bibliographic record
Abstract
Of all the claims in the Declaration of Independence, its surety about the existence of an intentional British “design to reduce” the colonists “under absolute Despotism” is perhaps the most questionable one to modern ears. Contemporary historians have largely dismissed such language, and the accompanying concerns about an alleged British plot to “enslave” its Atlantic possessions. However, this paper argues that such a view fails to properly consider the role of “the Irish precedent” of English imperial exploitation in sparking American resistance and rebellion. Namely, through a careful study of what American colonists read and wrote about in the lead-up to the American Revolution, this paper establishes that many of them were surprisingly attentive to the plight of “poor Ireland.” Moreover, during the Imperial Crisis, American colonists across social classes shared a surprisingly extensive concern about whether that “Irish precedent” would soon be applied to them. In the early stages of the Imperial Crisis, however, the colonists mainly worried about suffering the fate of the Protestant Anglo-Irish. Yet later on, those same colonists apparently began to fear being treated like the “degenerate” Old English Irish Catholics. Certain key events in the Imperial Crisis—such as the Quebec Act and the purported application of tactics used in the conquests of the Irish to British America—exacerbated those anxieties. Eventually, a group of ordinary people on the Massachusetts countryside, convinced that the British ministry intended “to reduce this Country to the wretched, slavish State of poor Ireland,” launched what later scholars would call “the first American revolution.” In short, “the Irish precedent” played a significant role in spurring armed conflict between the thirteen colonies and the British Empire. Hence, understanding “the Irish precedent” in the context of America’s War for Independence will help Revolutionary historians better uncover the war’s anti-colonialist implications. HIS 490-001
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".