Bibliographic record
Abstract
Issues of genre The novel has always borne a close relationship with the 'literature of fact' - history, travel writing, confession, letters and the diary - and the parallels between fiction and life writing are similarly deep and long-standing. James Joyce chronicles his coming of age in a third-person narration about young Stephen Dedalus, and writers as diverse as Patrick Kavanagh, Mary Costello and Seamus Deane offer as novels thinly disguised versions of their early years. Calling his three-volume autobiography, Hail and Farewell (1911-14), a 'novel about real people', George Moore draws attention to the blurring of genre endemic to life writing, as does Oliver St John Gogarty when he prefaces As I Was Going Down Sackville Street (1937) with the disclaimer, 'The names in this book are real, the characters fictitious.' Yet while autobiographical fiction and the fictionalised autobiography both play fast and loose with facticity, the two genres are not synonymous, and a consideration of their differences elucidates the contributions life writing has made to the development of prose narrative in modern Ireland.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".