‘the words I taught to him’: Interfusional Language Play and Brian O’Nolan’s ‘Revenge on the English’
Bibliographic record
Abstract
This article discusses the interlingual and cross-cultural resonances of the Irish language in the English and French intertextuality of O’Nolan’s short fiction and column writing through the coordinate of 'interfusionality.' The argument follows two interrelated strands: the first addresses the language theories expressed in O'Nolan's short story ‘Díoghaltais ar Ghallaibh ’sa Bhliain 2032!,’ published in The Irish Press in 1932, and the second traces this hybridity in the first Cruiskeen Lawn column through a compartive reading of Myles and 'An Broc' with Alphonse Allais, Edward Lear, and Stephen Leacock. The aim is to show that these works share a common theme wherein O’Nolan satirises Ireland’s language debate by employing hybridised language and projecting either the growth or destruction of Irish within the comic arc of satire. To read the article, click Download or View PDF.
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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 | 0.001 |
| Science and technology studies | 0.009 | 0.040 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".