A Train to Castle Von Aux: Patrick deWitt’s Fiction and the Transnational Paradigm
Bibliographic record
Abstract
While deWitt’s writing enjoys commercial and critical success, it has inspired very little academic scrutiny. This is perhaps due to deWitt’s avoidance of Canadian settings and themes in favor of motifs from American popular culture or European folktales. Just as The Sisters Brothers (2011) relied on deWitt’s ironic use of the Western formula, so Undermajordomo Minor (2015) constitutes a playful attempt at rejuvenating several tired genres. In the story of young Lucy Minor’s acquisition of a dubious post at the eerie Castle Von Aux there are unmistakable elements of the Gothic romance, the fable, and the Bildungsroman, all spiced up with a quirky cinematic aesthetic. Equally strong are the echoes of Walser’s Jakob von Gunten , Kafka’s The Castle , and Bernhard’s Gargoyles , themselves richly interconnected. Through these diverse allusions and a curious blurring of geographical and historical boundaries, deWitt creates transgeneric fiction, which may be understood as transnational in the sense assumed by Kit Dobson or Peter Morgan.
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 | 0.001 | 0.002 |
| 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 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".