Bibliographic record
Abstract
Mingan: my village. Illus. Rogé. Trans. Solange Messier. Markham, ON: Fifth House Publishers, 2014. Print.This is one of the most unusual Canadian Indigenous children’s books to have been published recently. It is an art book composed of fifteen of illustrator Rogé's portraits of Innu children from the village of Mingan (“Ekuantshit” in the Innu-aimun language) on the North Shore of the Gulf of St. Lawrence. The images are accompanied by fifteen poems written by the children. Each of the portraits covers an 8.5 X 14’ page and is an almost life-sized likeness painted from a photograph. The images are mainly sepia tones with some orange, blue and red highlights. These portraits will allow children elsewhere in the world to see what an Innu child looks like. The poems are the result of a poetry writing workshop led by Laurel Morali and Rita Mestokosho at Mingan. They are also published in the back of the book in Innu-aimun. The works are simple, unsophisticated and present a child’s view of the world. Nature and grandparents figure prominently in the works. For example: In the wind's light, the pain of the heart The blue river When I listen I have a memory of my grandfather He tells me he is well This comforts me I know he protects me That he watches me I cry when he is not beside me Sabrina Overall this is a striking work that could fit both in to art collections and children’s libraries as well as those collecting Canadian Indigenous materials. 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.235 | 0.086 |
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".