Bibliographic record
Abstract
Inhabit Media. Animals Illustrated SeriesFlaherty, William. Polar Bear, illustrated by Danny Christopher. Inhabit Media, 2016.Awa, Solomon. Narwhal, illustrated by Hwei Lim. Inhabit Media, 2016.Niptanatiak, Allen. Muskox, illustrated by Kagan McLeod. Inhabit Media, 2016. There are many picture book series that introduce the natural histories of various animals, often including Arctic animals. However, few of these are created in the Arctic. These three authors all have first-hand knowledge of the animals. William Flaherty is a conservation officer in Iqaluit and Solomon Awa is an Inuk from Igloolik, NU, who has lived a traditional lifestyle and Allen Niptanatiak is a hunter and trapper who lives at Kugluktuk, NU. Polar Bear, Narwhal and Muskox the first three in Inhabit Media’s new Animals Illustrated series. Illustrations are usually spread across two pages with related text overprinted. The illustrations, by Danny Christopher for Polar Bear and Hwei Lim for Narwhal are similar in style. Both make extensive use of light blue, dark blue and white to represent the animals in their snow and water environments. Kagan MacLeod’s drawings for Muskox are brighter and show the more colourful tundra scenes. There are also detailed drawings of the animals’ skeletons in each book.All of the books follow the familiar format of a natural history, with sections covering physical characteristics, range, skeleton, diet, reproduction, habitat and interesting information specific to the particular animal. The interesting fact about the narwhal is that they have been known to dive more than 1,500 meters. At the end of the polar bear book, there is a short description of the nanurluk, the mythological giant polar bear. The “Fun Fact” about the muskox is about how they use their horns. There is also a “Traditional Uses” page that notes the use of the hides, meat and qiviut (muskox down). Inhabit Media lists the audience for these books as ages 4-6, but the reading level of the text is Grade 4 and above. Younger children will enjoy the illustrations, but will need help to understand the text. These are excellent books that would be good acquisitions for school and public libraries, however, they contain little information that would not be found in similar works already held by many libraries. Libraries with limited budgets might want to spend their money on some of Inhabit Media’s other works that contain unique content. 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.778 | 0.586 |
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".