Bibliographic record
Abstract
The Irish plays keep on coming. In July 1997 The Weir , a new play by 26-year-old Conor McPherson, opened at the Royal Court Upstairs to such an enthusiastic reception that it transferred to the Royal Court main house in February 1998, to go on to be performed in Brussels and Toronto, a run in Dublin, a return to London, and on to Broadway in April 1999. The Weir is not a play about Ireland as such. The title refers to a local weir built by the Electricity Supply Board in 1951 ‘to regulate the water for generating power’ in the western area of Sligo-Leitrim where the play is set. It acts as a metaphor for the controlled release of emotion through talk and story-telling among the five characters, not as a symbol of a stage in the modernisation of Ireland. As McPherson himself says about the play, ‘I wasn't concerned with geography or politics. I am from the Republic of Ireland and that's where my plays have their genesis, but not from any need to address anything about my country.’ Still, The Weir is identifiably, recognisably, an Irish play, and a dimension to its (well-deserved) success comes from that recognisability. The small rural pub scene is familiar from as far back as the Playboy . The full-length action, uninterrupted by any interval, consisting in nothing but an evening's drink-talk, has a precedent in Murphy's Conversations on a Homecoming .
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.019 | 0.014 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.008 | 0.013 |
| Insufficient payload (model declined to judge) | 0.164 | 0.048 |
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".