Bibliographic record
Abstract
This mischievously artful essay plays out on several levels; think of them as storeys of an imaginary castle much like the real, solid, central Italian one it explores and expounds. On its own ground floor, the essay recounts a gruesome murder, a noble husband’s midnight revenge upon his wife and upon her bastard lover, his own half–brother, in her castle chamber, in bed. In sex. Of course. The murder itself is pure Renaissance, quintessential Boccaccio or Bandello, but the aftermath, in fort and village, is more singular, more ethnographically delightful, as castle and village trace a ceremonious passage from frozen limbo to fluid grief and storytelling, finally set in motion by the arrival of the dead wife’s brother. Meanwhile, one flight up, the essay retells my own investigation of the real castle’s geometry, as I clambered through rooms, peered out windows, prowled the roof, and scanned blueprints seeking the places of the plotters’ plots. In an expository attic, I lodge reflections on my teaching stratagems, as I led a first–year seminar into detection’s crafts and exposition’s ploys. All the while, on its rooftop, this essay dances among fantastical chimneys and turrets of high theory and literary practice, musing on the patent irony of artful artifice, which evokes both the irony and the pathos of scholars’ cool histories about hot deeds and feelings. Art suggests we authors had best hide ourselves, unlike normal essayists, so as not to spoil the show. But, I posit, our self–effacement is so conspicuous that it proclaims our presence, as in fact it should, and, by so doing, trumpets the necessary tensions of our artifice and craft. Thus artfulness itself nicely both proclaims and celebrates the bittersweet frustrations of historians’ and readers’ quest for knowledge and, especially, for experience of a lost past.
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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.022 | 0.021 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".