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
MyNDIR is the creation of Trish Baer, an adjunct professor in Medieval Studies at the University of Victoria. Site programming is by Martin Holmes, and design is by Pat Szpak, both of the University of Victoria Humanities Computing and Media Centre. The acronym MyNDIR stands for My Norse Digital Image Repository and the letters that it is comprised of spell the Icelandic word for "pictures." The critical approach for the selection of illustrations is focused through the theoretical lens of Material Philology which considers books and their material details, such as covers and illustrations, as cultural artifacts. This selection criteria results in a repository of images that is capable of revealing aspects of book history, culture, and production that the words of the texts alone cannot provide. Consequently, iterations of illustrations with minimal differences are not only included but valued for their research potential, e.g., illustrations from the first and second editions of Kongesagaer published in 1899 and in 1900.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.007 |
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