Bibliographic record
Abstract
A Detail Where You're Born" combines both poetic reflection and cultural analysis.The autobiographical essay by Manchester poet, Patrick Slevin, endeavours to explore the ways in which Irish identity has been kept by the children of the emigrants from Ireland to Britain in the 1950s and 1960s.Jon Dufresne, the Canadian writer, states in The Lie That Tells the Truth (2003) that the most fascinating world for a child is the world of their parents before they were born.Slevin explores this with a particular emphasis on the loss and memory of the emigrant child.How they inherit the memories and loss of the 'old country' without ever having lived there.Without an actual feeling of loss but a sense of it and how they identify with that country.He explores this with reference to affiliation with sporting teams at World Cups -Ireland against England at Euro '88.Individual players in different sports.Music -Boomtown Rats, Culture Cluband ways in which Irishness is kept alive through Irish Centres and associations, such as Manchester Irish Writers.Slevin illuminates this cultural analysis through examples of his own writing, such as "Summer 1979" which was commissioned as part of the 100 years since 1916 project funded by the Irish Arts Council in partnership with the Manchester Irish 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.023 | 0.010 |
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".