‘They blew up the best portion of our city and … it is their duty to replace it’: compensation andreconstruction in the aftermathof the 1916 Rising
Bibliographic record
Abstract
In his vivid account of Easter Week 1916, The insurrection in Dublin, the writer James Stephens observed: ‘The finest part of our city has been blown to smithereens, and burned into ashes. Soldiers amongst us who have served abroad say that the ruin of this quarter is more complete than anything they have seen at Ypres, than anything they have seen anywhere in France or Flanders.’ In a letter to his sister, Henry Beater, company secretary of Arnotts, also likened the smouldering ruins of Sackville Street and the adjoining thoroughfares to a scene from the war: House after house destroyed utterly. Clery & Co., D.B.C., Eason, G.P.O., Metropole and Imperial Hotels, Freeman’s Journal and literally dozens of other establishments in ruins. Henry St. on both sides from the pillar to Arnott & Co. nearly every house down and absolutely ruined.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.018 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".