Bibliographic record
Abstract
Pelletier, Mia. A Children’s Guide to Arctic Birds. Iqaluit, NV: Inhabit Media Inc., 2014. PrintMia Pelletier is an ecologist who, since 2010, has worked with seabird populations in Nunavut. In this children’s field guide, she introduces fourteen species of Arctic birds. Each bird is introduced in two pages. One full page displays Danny Christopher’s illustrations of the birds and the facing page provides the natural history of the species. Each description includes both English and Inuktitut names, though notably, not the standard Latin name. The text is broken into easy to read paragraphs for: physical description, where to look for the birds, what they eat, the sounds they make, nests, eggs, chicks and where the birds winter. In addition to the species descriptions, Pelletier has supplied helpful sections including a coloured chart of the birds’ eggs, a size comparison chart, and comparative descriptions of the birds’ feathers, bills and feet. In addition to her own knowledge, Pelletier has based her work on research, including visiting a museum in Iceland to view species and eggs that she had not seen in the wild.Danny Christopher’s watercolours are excellent representations of the birds. Every species could easily be identified from the paintings. Each image page also contains a “Feathered Fact” that tells the reader something special about the bird. For example: “Long-tailed ducks like to sneak their eggs into the nests of other long-tailed ducks”.Overall, this is an excellent introduction to common Arctic birds, which could be used to learn about the birds or as a guide for field identification. This work is highly recommended for public libraries and elementary school libraries.Highly Recommended: 4 stars out of 4Reviewer: Sandy CampbellSandy is a Health Sciences Librarian at the University of Alberta, who has written hundreds of book reviews across many disciplines. Sandy thinks that sharing books with children is one of the greatest gifts anyone can give.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.350 | 0.186 |
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".