Animating the Anatomical Specimen: Regional Dissection and the Incorporation of Photography in J.C.B. Grant’s <i>An Atlas of Anatomy</i>
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
In 1943 Dr J.C.B. Grant, of the University of Toronto, published the first anatomical atlas ever fully produced in North America, An Atlas of Anatomy. Within the history of biomedical teaching, the publication of this textbook is remarkable for at least two reasons, both connected to the themes of animation and automation. The visual narrative of the anatomical body found in Grant’s Atlas encapsulated a paradigmatic shift in gross anatomy from a systemic approach (dividing the body into its systems) to a regional anatomy (dividing the body into areas containing interlocking systems). The contextually contingent reasons for this shift in medical training are represented in the production of this textbook. What is crucial is that anatomy is thus conceived as directly applicable to surgical practice, which intervenes on the bodies of the living, rather than the dead. The second important dimension of Grant’s Atlas was his rigorous, yet invisible, incorporation of photography into the practice of medical illustration. Grant’s Atlas systematically deployed hand-drawn tracings of photographic images in the production of his bestselling textbook to affirm an indexical connection to a ‘real body’. At the same time, this use of photography is erased within the visuals, which rely instead on hand-drawn illustrations (line-drawings and carbon-dusting) to produce this particular pedagogy of the anatomical body. The production of ‘textbook anatomy’ is thus articulated to changes in technical modes of representation (photography) and to the new techniques in print-technologies from the late 19th until the mid 20th century.
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 | 0.001 | 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 | 0.001 |
| 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