Drink-Music: The ‘ól’ in Brian Ua Nualláin’s ‘!CEÓL!’ (1932)
Bibliographic record
Abstract
In the illustration accompanying ‘!CEÓL!’ (!Music!), Brian Ua Nualláin’s 1932 Irish-language story about radio and gramophone music, Ua Nualláin uses an established but outdated spelling of ‘ceol’ to suggest a polysemantic pun. This pun is significant given the story’s subtitle – ‘Eachtra an Fhir Ólta’ (The Tale of the Drunkard) – because it places ‘ól,’ the Irish word for drink, inside the word for music, ‘ceol.’ The resulting portmanteau in Ua Nualláin’s illustration is interfusional in Thomas King’s sense, because it blends the textual with the oral. The orthography Ua Nualláin uses for his visual representation of ‘!CEÓL!’ draws attention to how the word is spoken, and the stress on the second half of the word makes it sound drunken. We argue that the story’s implied title, ‘Drink-Music,’ thematises intertextual play in ways that anticipate Ua Nualláin’s Middle Irish Joycean pastiche ‘Pisa bec oc Parnabus’ (1935/1938). This note provides the first critical discussion of the ‘!CEÓL!’ illustration, observing the presence of Ua Nualláin’s initials in the bottom right-hand corner of the image.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".