Review of Frederick A. De Armas, «Cervantes’ Architectures: The Dangers Outside», Toronto, Toronto University Press, 2022, 384 pp. ISBN: 978-1-4875-4241-2
Bibliographic record
Abstract
For his latest book, De Armas turns to the buildings in Cervantes' prose fiction and takes us on an engaging journey from La Galatea (1585) to the Persiles (1617) in nine chapters.Readers often take for granted references to or descriptions of buildings, but De Armas shows us why it is important not to do so, and how, in the case of Cervantes, they can convey new and provocative insights into some of his most studied works.In line with the «spatial turn» in literary studies, De Armas focuses on how place or space -a distinction further explained through the Chinese architect Yi-Fu Tuan's definitions of place as security and space as freedom-give meaning to the text, even when seemingly no interest is taken in the spatiality of a certain episode.Probably the most revealing chapters of the book are the ones dedicated to the elliptical and ellipsis in Cervantes' posthumous novel (chapters 7 to 9).By pointing out the lack of windows in the North in the first two books or the double focus in the last two (when often unexpected architectures are used in order to say something about the ones that are left unmentioned), De Armas convincingly suggests new readings of not only key episodes but also the broader meaning of the novel itself.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.015 |
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".