Bibliographic record
Abstract
Hall, Wendy J. Eve's Ekg and Echocardiogram. Mediwonderland, 2018. Another installment in her Mediwonderland series of children’s books intended to provide accessible and comprehensible knowledge of medical afflictions and tests, Wendy J. Hall’s Eve’s EKG and Echocardiogram focuses on the world of cardiovascular health-related tests. Beginning the story with the protagonist, Eve, suffering chest pains, readers see Eve being rushed to the hospital and undergoing several tests. Ending with the doctor’s prognosis that Eve’s chest pains are likely caused by overuse, the reader is left better informed and comforted. Although Eve was initially scared to do the tests, she is comforted by the doctor’s excellent bedside manner, and inevitably enjoys the process and the exciting experiences such as getting to see her heart beating in an echocardiogram. Written mostly as a dialogue between Eve, her mom, and the various doctors and nurses, the text flows believably and is very easy to read. Hall uses emotion to engage with the reader. The font is large, clear, and well-spaced so that many young readers will be able to read it independently, or with moderate assistance. Although the medical terminology included is complex, all the tests mentioned are explained simply enough for a child to understand. Colour images accompany each page of text, and represent an overview of what happens on each page of the story to increase comprehension. Overall, Hall’s Eve’s EKG and Echocardiogram is an entertaining, educational must read! Highly Recommended: 4 out of 4 starsReviewer: Madeline C. Crichton Madeline Crichton is a University of Alberta undergraduate student with a lifelong passion for reading. When she is not preoccupied with her studies, Madeline is busy volunteering in a variety of roles in her community.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.055 | 0.054 |
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".