Changing social and political attitudes in Ireland and Northern Ireland
Bibliographic record
Abstract
The mission of the Economic and Social Research Institute (ESRI) is to advance evidence based policymaking that supports economic sustainability and social progress in Ireland.ESRI researchers apply the highest standards of academic excellence to challenges facing policymakers, focusing on 10 areas of critical importance to 21st Century Ireland.The Institute was founded in 1960 by a group of senior civil servants led by Dr T.K. Whitaker, who identified the need for independent and in-depth research analysis to provide a robust evidence base for policymaking in Ireland.Since then, the Institute has remained committed to independent research and its work is free of any expressed ideology or political position.The Institute publishes all research reaching the appropriate academic standard, irrespective of its findings or who funds the research.The quality of its research output is guaranteed by a rigorous peer review process.ESRI researchers are experts in their fields and are committed to producing work that meets the highest academic standards and practices.The work of the Institute is disseminated widely in books, journal articles and reports.ESRI publications are available to download, free of charge, from its website.Additionally, ESRI staff communicate research findings at regular conferences and seminars.The ESRI is a company limited by guarantee, answerable to its members and governed by a Council, comprising up to 14 members who represent a crosssection of ESRI members from academia, civil services, state agencies, businesses and civil society.The Institute receives an annual grant-in-aid from the Department of Public Expenditure and Reform to support the scientific and public interest elements of the Institute's activities; the grant accounted for an average of 30 per cent of the Institute's income over the lifetime of the last Research Strategy.The remaining funding comes from research programmes supported by government departments and agencies, public bodies and competitive research programmes.
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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 | 0.003 | 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 | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".