Bibliographic record
Abstract
Nuligak. Memories of a Beluga Whale Hunt from I, Nuligak. Inuvik, NT: Inuvialuit Cultural Resource Centre, 2015. Print.Itqaginaqtuat Qilalugarniarnikkun Uvanga, Nuligak. Inuvik, NT: Inuvialuit Cultural Resource Centre, 2015. Print. (Uummarmiutun edition)Puigulaitatka Qilalugaqhiurnik Umanga Uvanga, Nuligak. Inuvik, NT: Inuvialuit Cultural Resource Centre, 2015. Print. (Kangiryuarmiutun edition)Puigulaitkiga Qilalukkiqiniq Uvanga, Nuligak. Inuvik, NT: Inuvialuit Cultural Resource Centre, 2015. Print. (Siglitun edition)I, Nuligak is a classic Northern Canadian work and was the first Inuvialuit book to be published. Nuligak was an orphaned Inuvialuit who documented his life and the lives of his people. The work was published in 1966 and printed in paperback in 1971. The Inuvialuit Cultural Resource Centre, the primary keeper of the documentary record of cultural and historical knowledge of the Inuvialuit people also has a mandate to help preserve and promote all three of the Inuvialuktun dialects: Uummarmiutun, Kangiryuarmiutun and Siglitun. This is one example of their work, taking a short passage from the beginning of I, Nuligak, in which Nuligak describes a Beluga whale hunt and turning it into an illustrated children’s book, published in all three dialects, as well as English. The text is simple and closely follows the original English language publication. Nuligak describes what the scenes of the hunt were like, how the kayaks were built, how the hunt was structured, both practically and socially and how the catch was managed. The text for the story in each dialect was created by local native speakers from the Inuvialuit Settlement Region. The illustrations are the same in all four books. Each pair of pages is a beautiful illustration by Toronto artist, John Mantha. Mantha has done an excellent job of capturing the Inuvialuit people, their clothing, kayaks, tools and their environment. All four volumes should be added to library collections that collect Northern Canadian Children’s literature. The English language volume should be added to all Canadian public and 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.006 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".