Bibliographic record
Abstract
Abstract In 1960, literary life in Belfast had begun to stagnate. Although Sam Hanna Bell, Michael McLaverty, and Roy McFadden were still living and writing in the city, John Hewitt was away in Coventry and the Ulster literary magazine Rann had folded. When looking back, several Northern Irish poets remembered these years as particularly bleak. James Simmons, an English lecturer in Coleraine, was at the time living in Portrush and performing his songs in the local bars. As an aspiring poet, he felt isolated in his provincial surroundings: ‘You can’t believe the loneliness of someone beginning to write, say, in Portrush when I was writing, or Derry, and there’s no one to talk to, no one who’ll listen or understand.’ Longley would have empathized. In 1964, he moved back to Belfast in order to be closer to Edna, who had been appointed as an English lecturer at Queen’s. He began teaching Classics at Inst, though he longed to spend more time writing. With Mahon in Canada, and Boland and Kennelly across the border in Dublin, there was little opportunity for lively poetic exchange. Yet one man would soon breathe air into literary Belfast’s sagging sails.
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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 | 0.000 | 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 | 0.007 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.233 | 0.044 |
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".