Bibliographic record
Abstract
Income tax is the largest single means of generating revenue in modern states, and its impact is felt by virtually all members of society. How it is levied is therefore a matter of the highest political significance. Yet countries vary greatly in the manner in which they allocate the burden of paying income tax. In Ireland, the profile of income tax has changed dramatically throughout the course of economic modernization, since about 1960. By 1980 it was generally agreed that employees were carrying too much of the burden, especially those on fairly low incomes. Steady growth in recent years has enabled governments to cut tax rates while still bringing in rising revenue. But shifting the distribution of tax has proved very difficult, and tax reform has tended to favor the wealthy most. This article draws on comparative political science literature to highlight the political and institutional variables relevant to explaining these trends. “The Chancellor of the Exchequer is a man whose duties make him more or less of a taxing machine. He is entrusted with a certain amount of misery which it is his duty to distribute as fairly as he can” (Robert Lowe, Viscount Sherbrooke, (Liberal), Hansard, 1870, April 11, col. 1639).
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 | 0.004 | 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 | 0.009 | 0.012 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".