“Exploring sunken ruinous roads”: the First World War poet as archaeologist
Bibliographic record
Abstract
This paper examines some of the poetry of the First World War's aftermath and suggests that the process by which poets revisited their wartime experiences often resulted in poetry that was uneasily aware of its ability to offer only a partial alleviation of the traumas that it drew upon. Using the metaphor of archaeology as a way of approaching this practice, the essay considers whether the activity of “excavating” and writing about the past held out, for the generation of soldier-poets, the possibility of finding psychological equilibrium as memories were uncovered, claimed and brought to the surface. Articulating experience through poetry revives it and simultaneously imbues it with traces of form and structure; suggesting a degree of understanding on the part of a poet coming to terms with “unthinkable” things, but at the same time it is not without considerable risk for the excavating poet-archaeologist, who is uncomfortably woven into the memories that he probes.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.030 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".