Bibliographic record
Abstract
Hall, Wendy J. Diana’s Diabetes. CreateSpace Independent Publishing Platform, 2018. As part of the Mediwonderland book series designed to “guide children through common medical procedures and illnesses”, Diana’s Diabetes follows the journey of Diana, a young girl recently diagnosed with Type 1 diabetes, as she learns about her condition and how it is managed. Following the identification of symptoms and her initial diagnosis, Diana and her mother return to the clinic for an information session and follow-up with Dr. Daniel and Nurse Nina. There, Diana and her mother learn about the mechanics of the illness, self-monitoring for blood glucose, and insulin injections. Diana is also given a journal in which she must record her food intake and insulin doses, as well as a medical identification bracelet. Major concepts are introduced through text and accompanying illustrations. The text, printed in large font, is easy to read. The content is rolled out logically, allowing for one concept to build upon the previous. Colourful illustrations by Ysha Morco serve to complement the text, providing visuals for the various concepts presented. However, in the case of the “Type 1 Diabetes” poster illustrated on pages 15 and 16, more detail and additional labels could have been added to better explain the biology behind the illness. In addition to providing an informative and factually sound overview of Type 1 diabetes in children, author Wendy J. Hall has successfully created characters and a scenario that will undoubtedly resonate with patients and family members alike, serving as both a source of information and comfort. This book is highly recommended for public, elementary school, and children’s hospital libraries. Highly Recommended: 4 out of 4 starsReviewer: Victoria Eke
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.303 | 0.222 |
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".