Bibliographic record
Abstract
Davies, Nicola. The Pond. Illustrated by Cathy Fisher. Graffeg, 2017. In this picture book, a half-finished garden pond, “a muddy, messy hole that filled our garden,” becomes a metaphor for a family’s grief at the death of a father, “a muddy, messy hole that filled our hearts.” The story highlights the fact that when someone dies, the family loses not only the person, but also the activities that the family did with that person. Eventually, the mother in this story gets the pond lined and it starts to come to life with tadpoles, dragonflies and a water lily, mirroring the family’s progression through their grief. The artwork really carries the story forward, and accompanied by the simple text Nicola Davies depicts aquatic environments in a variety of ways. Her work is cinematic, capturing the movement and messiness of pond life. She uses dark colours, splatters, scribbles and fractures in lines to depict the family’s grief. Some of the images are beautiful. Her water lilies on solid black backgrounds are exceptional. The images in this book will engage all ages. This book would be good for children coping with loss or those preparing to cope with loss and should be a part of public and school library collections. Recommendation: 4 stars out of 4Reviewer: Sean Borle Sean Borle is a University of Alberta undergraduate student who is an advocate for child health and safety.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.257 | 0.211 |
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".