Bibliographic record
Abstract
The spiritual pilgrimage or quest, however variable in its goals, trajectories, and outcomes, is a prevalent theme in modernist literature. Alexandra Peat’s Travel and Modernist Literature: Sacred and Ethical Journeys considers the quest in modernist literature an embodiment of “an ethical questioning of the very nature of belief,” a departure from reliance on traditional spiritual frameworks into a voyage and search for an alternative spirituality (1). Jonathan Ullyot’s The Medieval Presence in Modernist Literature: The Quest to Fail focuses on modernist texts featuring “‘impossible’ quest narratives in which the object of the quest is unclear” (7) and uses the framework of failure aesthetics to study this particular form of the modernist preoccupation with questing. Representing both alternative spirituality and failed quests, T.S. Eliot’s The Waste Land (1922) draws upon the Arthurian Fisher King and Holy Grail quest narrative as a framework for spiritual and existential questioning. I intend to explore the function of the quest as a metaphor and vehicle for such questioning in The Waste Land. I will focus on the role of medieval quest narratives and the role of space—landscape and architecture—in Eliot’s modernist quests. Discipline: English Honours Faculty Mentor: Dr. Sarah Copland
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.
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 | 0.001 |
| 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 | 0.019 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".