Bibliographic record
Abstract
Larsen, Andrew, Dušan Petričić, and Yvette Ghione. In the Tree House. Toronto, ON: Kids Can Press, 2013. Print. Inspired in part by the author’s childhood dreams of building a treehouse, Andrew Larsen relates the story of a young boy who designs and builds a treehouse with his older brother and father. He and his brother spend an idyllic summer playing games, reading comics, and hanging out. But the next summer is different. The boy discovers that it’s not much fun to have the treehouse to himself when his brother is busy spending time with friends. As he sits disconsolately in the treehouse, an unexpected blackout provides a different perspective on the neighbourhood and the boy’s older sibling joins him in the treehouse, where they recapture some of the previous summer, sipping lemonade, reading comics by flashlight, and playing card games. This connection persists even after the power comes back on. Larsen’s spare writing skillfully conveys the heaviness of the summer heat and evokes the feelings of excitement, of dreaming and fulfilling a dream, of exclusion and loneliness as siblings grow apart, the disappointment of having something but no one to share it with, and a longing for the past. Dušan Petričić’s pen and ink illustrations complement the text beautifully. This book is aimed at children 3-6 years of age, but the content will strike a chord for older readers and reminiscing adults alike. The story reminded me of John Rocco’s Blackout, in which a power outage is an event that brings busy family members and their neighbourhood closer together. Recommended: 3 out of 4 stars Reviewer: Maria Tan Maria is a Public Services Librarian at the University of Alberta’s H. T. Coutts Education Library. She enjoys travelling and visiting unique and far-flung libraries. An avid foodie, Maria’s motto is, “There’s really no good reason to stop the flow of snacks”.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.054 | 0.034 |
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".