Bibliographic record
Abstract
Orozoco, Rebeca. It’s Our Nature. Illus. Menena Cottin. Toronto: Tundra Books, 2012. Print.Informative and educational, with beautiful minimalist illustrations, this book is an excellent resource for character education. The author correlates animal behaviours with values and behaviours children are learning: altruism, community, communication, generosity, responsibility, trust, commitment, solidarity, brotherhood, and tolerance.The connection implicit in the text, that animals and humans bear many similar valued traits, beautifully underlies this book. At first glance, it seems perfect for a budding biologist, but upon further exploration, it would be a wonderful book for any child. Reading the preface is a necessity to really understand the purpose of the book and the underlying message. Due to its location directly opposite the publication information, I mistook it for a dedication and skipped in on my first read.The deceivingly simple artwork is fantastic and is a perfect partner for the abundant text. The inside cover is a vibrant orange but the artist uses muted tones in the illustrations. The font and text is a little dense. While I appreciate whitespace created by grouping the text together, it does not really increase the readability in this case. Recommended: 3 out of 4 starsReviewer: Jorden SmithJorden is a Public Services Librarian in Rutherford Humanities and Social Sciences Library at the University of Alberta. She is an avid fiction reader and subscribes to Hemingway’s belief that “there is no friend as loyal as a book.”
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.101 | 0.100 |
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".