Bibliographic record
Abstract
Dining out during the 1980s in Ireland could be summarised gastronomically by prawn cocktails, Chicken Maryland, Black Forest gateau and bottles of Blue Nun or Mateus Rosé. All this changed with the Celtic Tiger when the Irish public was introduced to Caesar salad, tomato and fennel bread, tapenade and Chardonnay. From 1989 to 1993, Restaurant Patrick Guilbaud was like a lone beacon of consistency in the Irish edition of the Michelin Guide. However, in 1994, five Michelin stars were awarded on the island of Ireland. Change was afoot. Many young Irish chefs and waiters emigrated during the 1980s although some, such as Kevin Thornton, Michael Clifford, Ross Lewis, Robbie Millar and Paul Rankin, returned during the late 1980s and early 1990s with knowledge of nouvelle cuisine and fusion cuisine gained in the leading restaurants of London, Paris, New York, California and Canada. They brought a new energy and confidence to the Irish restaurant industry on their return.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.195 | 0.077 |
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".