Bibliographic record
Abstract
Abstract: Galway writer Alan McMonagle participated in the Conference “II St. Patrick’s Day International Seminar: Irish Itinerary 2019 (EFACIS) and Women in Irish Culture” at the Centre of Irish Studies Banna / Bond, University of La Rioja (EFACIS Centre – European Federation of Associations and Centres of Irish Studies). The following interview took place there on 12 March 2019, covering issues of creative writing, formal innovation, poetry, short story, radio drama, film noir, comic fiction, dark laughter, gender, Beckett, Greek and Russian literature, and social inclusion and exclusion in Irish culture. McMonagle offers a number of insightful responses and shares his views on writing, relationships and his motivations to write. McMonagle has contributed stories to many journals in Ireland and North America over more than a decade and is the author of two collections, Liar, Liar (2008) and Psychotic Episodes (2013), both nominated for the Frank O’Connor Short Story Award. He has received awards for his work from the Professional Artists’ Retreat in Yaddo (New York), the Fundación Valparaíso (Spain), the Banff Centre for Arts and Creativity (Canada) and the Arts Council of Ireland. Early in 2014, his radio play Oscar Night was produced and broadcast as part of RTÉ’s “Drama on One” season. Three years later, in 2017, McMonagle produced and broadcast another play, People Walking on Water. He is a contributor to the anthology Young Irelanders (edited by Dave Lordan, 2015). In November 2015, he signed a two-book deal with Picador and his first novel, Ithaca, was published in March 2017. He was immediately nominated for the Desmond Elliott Prize for first novels. At the moment, he is writing his second novel for Picador.
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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 | 0.013 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.036 | 0.029 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.005 | 0.009 |
| Research integrity | 0.010 | 0.025 |
| Insufficient payload (model declined to judge) | 0.007 | 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".