Bibliographic record
Abstract
Irish regionalism 'Regionalism' is a topical theme, kept before us by the regional policies of the European Union, of which Ireland is a member, and by recent discussions of regionalism in connection with the contemporary phenomenon of economic globalisation. But the concept of 'region' or 'regionalism' in Irish fiction is not straightforward, either before or after the establishment of Northern Ireland and the Irish Free State in 1920-2. Within the tradition of regional fiction in English, Maria Edgeworth made a pioneering contribution with her Irish novel Castle Rackrent (1800), and this was generously acknowledged by Sir Walter Scott, who helped to pass on the lessons to subsequent regional writers. But Edgeworth's example did not of itself produce strongly localised Irish fiction. The main market for Irish fiction has always been outside Ireland, and from the outset this rather discouraged a regional or sub-regional specificity which would not be appreciated at a distance. In consequence, the whole of Ireland, or at least rural Ireland, tended to be identified as a single non-metropolitan 'region', the literary province of nineteenth- and indeed twentieth-century Irish writers in English, just as a largely undifferentiated Scotland tended to be seen as a single region, the province of Scottish writers.
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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 | 0.001 |
| 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 | 0.017 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".