Bibliographic record
Abstract
In this introduction to Irish Studies in International Affairs I share the normal duty of presenting the papers with two other colleagues—Mervyn O’Driscoll and Jamie Walsh of University College Cork, who organised the symposium on disarmament and non-proliferation, hosted in Academy House, Dublin, in March 2014, from which nine of the first twelve papers in this issue are drawn. As organisers of the event I will leave the honour of introducing those papers to their piece, which follows, but will add my own thanks to all the symposium participants for making their papers available for publication in this year’s volume. This allows the journal to deal comprehensively with a topic that has been explored frequently in individual papers over the years, indicating an ongoing Irish interest in the matter. The range of topics covered by the seminar papers and the expertise involved is impressive, and the human dimension of the debate could not be captured more appropriately than by the inclusion of the testimony by Ms Setsuko Thurlow, survivor of the Hiroshima nuclear bomb attack. We are again grateful to the Department of Foreign Affairs and Trade for its support for the symposium itself, and for its on-going support for the journal. I would like to thank in particular the then Minister of State at the department, Joe Costello, TD, for speaking at the symposium and for making his contribution available for inclusion in the journal. In addition to the papers directly related to the symposium, three additional papers on disarmament and non-proliferation are included in this volume. A paper by Mervyn and Jamie argues that the Irish contribution to the first Nuclear Non-Proliferation Treaty (NPT) review conference, in 1975, was important in establishing the credibility of the treaty as an instrument of international law. Saira Bano of the University of Calgary offers a clear and critical analysis of the Indian government’s successful negotiation of international acceptance of its nuclear trade deal with the US, despite its not being a signatory to the NPT, and argues that the deal undermines international
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.018 | 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".