Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The words “iconology” and “iconography” are often confused, and they have never been given definitions accepted by all iconographers and iconologists. Panofsky 1955 (cited under General Overviews) defines “iconography” as the study of subject matter in the visual arts and “iconology” as an attempt to analyze the significance of that subject matter within the culture that produced it. This definition was prescriptive rather than descriptive, and many art historians before Erwin Panofsky who would have called themselves “iconographers” were engaged in investigations that Panofsky would have termed “iconological.” Another source of semantic disagreement has arisen from the perceived overinterpretations of Panofsky and his school, which have led some art historians to reject the word “iconology.” It seems useful, nevertheless, to keep a distinction between iconography and iconology, since it draws attention to a fundamental distinction between the study of words and the study of images. While iconology corresponds to the historical criticism of texts in literary studies, iconography has no obvious counterpart outside histories of the visual. At the same time, in art historical practice iconography and iconology feed into each other, as the literature surveyed in this article shows.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it