The Lymphatic System of the Dog: Translating and Transitioning to an Open Textbook
Bibliographic record
Abstract
This contribution is situated at the University of Saskatchewan, where Open Education Resources have been supported since 2014. During the pandemic we began the work of translating The Lymphatic System of the Dog, by Dr. Hermann Baum, into English. Originally published in 1918, Dr. Baum’s book has been transitioned into Pressbooks, with the addition of ancillary resources. Balancing the legacy of Dr. Baum’s research with our own innovations in assessment and design engages new generations of learners and practitioners. The benefits for faculty and students in designing and publishing openly must also be acknowledged. Locally designed and produced open education resources created with and by our university community is of significance to the academy. The adoption of open textbooks in university classes establishes a discourse and refinement of knowledge ensuring quality resources are designed and shared.
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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 | 0.013 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.017 | 0.011 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".