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Record W3192725833 · doi:10.5210/jbc.v45i1.10851

Towards Informed Use of the Pernkopf Atlas

2020· article· en· W3192725833 on OpenAlex
Leila Lax

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Biocommunication · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsExhibitionThe HolocaustAtlas (anatomy)TributeSociologyMedicineLawHistoryArt historyPolitical science

Abstract

fetched live from OpenAlex

Knowledge of the dark history and inherent ethical dilemmas of Pernkopf's atlas is essential to individual decisions on use. Seventy-five years after the Holocaust, the legacy of Pernkopf's Atlas of Topographical and Applied Human Anatomy continues to unfold. Informed use of the atlas needs to be integrated in academia and in practice. This paper advocates for the adoption of The Vienna Protocol and improving informed use of the atlas by: (1) updating and inserting an information letter in as many volumes as possible, so that the history can be known before use; (2) conducting and publishing a research study within the medical art community, to examine knowledge of the history of the atlas and elevate awareness; and (3) creating a museum archive and permanent exhibition of the original anatomical illustrations, to document historical facts, disseminate visual evidence, and illuminate embedded controversies. Moving towards informed use, in these ways, provides opportunities for continued ethical discourse, personal reflection and future Holocaust education. Through informed use we memorialize and pay tribute to the Nazi victims portrayed in the atlas.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.223
GPT teacher head0.309
Teacher spread0.085 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it