Bibliographic record
Abstract
Waboose, Jan Bourdeau. The Spirit Trackers. Fifth House Publishers, 2017.In this volume, Jan Bourdeau Waboose introduces the Anishanaabe version of the Windigo legend and also celebrates the skill of tracking. Waboose is Anishanaabe from Northern Ontario. In this story, Uncle tells Tom and Will the scary story of the Windigo, the Wandering Night Spirit of Winter that “has a heart of ice, and … teeth … like steel. It will eat anything in its way!” Windigo stories are cautionary tales designed to keep children from wandering off in the forest and becoming lost. In this story the Windigo and winter are almost synonymous. Uncle tells the boys, too, that “winter can be dangerous to all things. Respect it and always honour the animals who face the Windigo.” But these boys want to grow up to be trackers, so when they hear what they think is the Windigo out in the darkness, they decide to track it. The tracks lead to a young moose, stuck in the snow. The boys free it, honouring the animal. Waboose has written several other books that reflect “the Native life she sees in her family, friends and community”. In keeping with that, this is not so much a retelling of the Windigo story as a narrative that shows the importance of the Windigo in traditional Anishanaabe life today. The artwork emphasizes the darkness of winter and the scariness of the Windigo. The blues, blacks and browns complement the wintery themes. Illustrator Francois Thisdale has also hidden animal tracks into most of the pictures. Young, would-be trackers will be kept entertained trying to find them. This book is highly recommended for public 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.057 | 0.040 |
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".