The Lexicography of Irish Musical Experience
Bibliographic record
Abstract
The Encyclopaedia of Music in Ireland represents the first comprehensive survey of Irish musical experience across recorded history, although its principal span extends from the early Middle Ages to the present day. EMIR (to use the abbreviation by which it is now known) addresses several distinct areas of musical practice, including traditional music, art music, church music, popular music and the music trade (printing and publishing; instrument manufacture), as well as the relationship between music, literature and political culture in Ireland. It also documents Irish musical practice elsewhere, notably in North America (the United States and Canada) and the United Kingdom. Perhaps the most important aspect of EMIR from the general perspective of musical lexicography is its attempt to broaden the base of musical practice as this is conceived in older works of musical reference. In particular, EMIR reflects a sequence of editorial principles sufficiently pliant to address the topography of Irish musical practice, in which there has long been a pronounced tension between the claims of the composer and the musical work on one side, and the claims of oral and popular culture on the other. Although EMIR represents the apparatus of Irish art music (as in biographical and critical entries on composers, complete with worklists, sources and bibliographies), it also engages closely with the transmission and dissemination of traditional and popular music. But however comprehensive its address, EMIR implicitly draws attention to the fundamental challenge of musical lexicography (in Ireland as well as elsewhere), which is to reconcile an apparently insatiable quest for information with the imperative of critical and historical interpretation.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.006 | 0.015 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".