Mixing Everything at the Beginning: Telling Stories about Empire in Yeats's <i>On Baile’s Strand</i>
Bibliographic record
Abstract
These are the words of a fool spoken to a blind man: the men are bound together by necessity and mutual distrust, one needing wisdom, the other sight, one lacking guidance, the other lacking passion. It is a story to be understood, mixed from the beginning, mingled in the telling, uncertain in the closing. In W.B. Yeats's On Baile's Strand, written for Ireland's National Theatre, drawn from Ireland's troubled past, and centering on the self-defeating passion of a legendary Irish hero, it is perhaps more than fitting that the Fool, with the insight of his Shakespearean namesake, should ask his eternal companion about beginnings and endings, narrating past and present, finally getting "the hang" of the story. For these are the questions of a colonized people whose sense of identity is inextricably bound with empire, whose history is not one tale but a tangle of multiple stories, silences, erasures, buried myths of heroism and tragic defeat, a people who, digging into the past for some artifact of an original, distinct Ireland, discover that, in the words of Seamus Heaney, "Every layer they strip / Seems camped on before"
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.021 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 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".