Steinberg, Leo. Michelangelo’s Sculpture: Selected Essays. Ed. Sheila Schwartz
Bibliographic record
Abstract
Leo Steinberg (1920Steinberg ( -2011) ) is an itinerant multilingual art historian who understands visual analysis as well as literary style, as Sheila Schwartz explains in her Preface and Acknowledgments (vii-x).Schwartz does well to explain that Steinburg, a refugee from the Soviet Union and then Germany, wished to have his essays of sixty years and his unpublished lectures appear, for that is what Schwartz has achieved in a series of volumes, beginning with the book under review, followed by one on Michelangelo's painting and by others extending into modern and contemporary art (vii).Schwartz shows how ambivalent scholars can be when it comes to style: "Steinberg had a well-earned reputation as a writer of fine prose, which won him both praise and blame from fellow art historians" (vii).I am with Buffon, a natural philosopher, on style: without it, works do not endure, and the literariness of Steinberg is a strength, so it is unfortunate that Schwartz has to apologize for it in the face of a strange resistance.She is right to say, "And
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".