Bibliographic record
Abstract
Statistics Office and Government Departments. The Bulletin also contains material which has been made available by the courtesy of licensed banks and other financial intitutions. 2. Unless otherwise stated, statistics refer to the State, i.e., Ireland exclusive of Northern Ireland. 3. In some cases, owing to the rounding of figures, components do not add to the totals shown. 4. The method of seasonal adjustment used in the Bank is that of the US Bureau of the Census X-11 variant. 5. Annual rates of change are annual extrapolations of specific period-to-period percentage changes. 6. The following symbols are used: e estimated n.a. not available p provision.. no figure to be expected r revised – nil or negligible Q quarter f forecast 7. As far as possible, data available at end-Dec. 2000 are included in the Statistical Appendix (Section 3). 8. Updates of selected Tables from the Statistical Appendix, concerning monetary and financial-market developments, are provided in Monthly Statistics. Data on euro and Irish-pound exchange rates, Irish Government bond yields and on the Irish equity index are provided daily on recorded telephone message (Telephone: 353 1 6716299).
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.474 | 0.541 |
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".