“In the Shadow of Greater Events in the World:” The Northern Epic in the Wake of World War II
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT: World War II was marked by widespread use of heroic narratives, national legacies, and grand ideas about destiny or the “arc of history.” These topics have a firm foundation in medieval literature, particularly in northern traditions. While literary medievalism had been in the limelight during the nineteenth century, during the early twentieth century it had been dismissed as a quaint curiosity; suitable for the benighted souls of the reading public, perhaps, but not to be taken seriously by avant-garde intellectuals. In the mid-twentieth century, however, literary medievalism returned with a vengeance. Questioning the critical narrative of twentieth-century literary history, this article examines iconoclastic works by Halldór Laxness (Iceland), T. H. White (England), John Gardner (America), and the Strugatsky brothers (Arkady and Boris, Russia), in order to compare perspectives on medievalism from different countries in the aftermath of the bloodiest conflict of all time.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it