Bibliographic record
Abstract
The name of Sir William Gregory features in most modern accounts of Ireland in the nineteenth century. It is fair to say, however, that usually he is regarded as a ‘villain’. Gregory is very widely known as the author of a piece of legislation introduced as part of relief measures during the Famine which sought to limit aid to those with a quarter acre or under of land and which became known as the Gregory clause or the quarter acre clause. An article in the New York Times on 16 July 2002 about the dedication of an Irish famine memorial in New York described the 5 million-dollar monument as follows: ‘The quarter-acre size of the monument adheres to the infamous Gregory clause passed by the British parliament in 1847, which decreed that cottiers whose plots exceeded that size would not be eligible for relief. The cottage is roofless because many farmers tore the thatches off their homes to prove destitution and qualify for relief.’ Most modern academic accounts of the Famine have been very critical of Gregory. It is widely accepted that the purpose of the Gregory clause was to assist landlords to clear their estates of pauperised smallholders who were paying little or no rent. This measure has been seen by some as leading to mass evictions and causing the clearance of many small farmers and labourers throughout Ireland.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.022 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".