Bibliographic record
Abstract
Bite your tongue, or is it your lip? That is precisely what the fool, or jester, in the Large Head of a Jester (figure 89) is actively engaged in doing as he looks out in the direction of the viewer. A gift of the Trier-Fodor Foundation, this anonymous, German engraving of c. 1600 was acquired by the Art Gallery of Ontario, Toronto, in 1985. Image and text of this medium-sized print measure 360 x 277 mm; the sheet 402 x 312 mm. The laid paper bears a watermark of a shield incorporating a fat fleur-de-lys, or possibly a clover leaf. Nevertheless, this fascinating engraving has not been discussed in the literature. The jester is an impressive, if contradictory fellow. He wears a fool's cap replete with bells and cockscomb and several pins or badges of various sizes and shapes, yet he sports extremely well-clipped eyebrows and moustache, whose neatness directly contradicts his naturally ragged beard. But the beard appears to have been shaved at centre, where six warts, or related bumps, appear. Six more wart-like bumps cover the tip of his nose. The upper part of the jester's face is wrinkled and contorted as a result of biting his lip. His eyes, which include reflections of windows, look worried or distressed. What is the viewer to make of these various facial details, growths and expressions?
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.044 | 0.006 |
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; both teacher heads agree on what is shown here.
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".