Bibliographic record
Abstract
Dupuis, Jenny Kay and Kathy Kacer. I Am Not a Number, illustrated by Gillian Newland. Second Story Press, 2016. An Indian Agent’s visit to their home on Nipissing Reserve No. 10 begins this harrowing tale of eight-year-old Irene Couchie and two of her young brothers. Their parents, threatened with the force of the law as it then exists, watch helplessly as the children board a bus and are driven away to a residential school. Once there, the youngsters suffer a year of deprivation and abuse, both physical and emotional. By the time they return home at the end of the school year, they are traumatized. Ultimately, Irene reveals what they have endured to their parents, and their father takes a determined stance to protect them. Dupuis’ story details a segment of her family’s history based on the experience of her grandmother, Irene Couchie Dupuis, student number 759 at the “Spanish Indian Residential School” in 1928. It also details a segment of Canadian history that has now become all too familiar, all too shameful, and all too heartbreaking. The author’s end notes provide a brief outline of the residential school system in Canada, along with photographs of Irene Couchie, her mother and siblings, and her father, Chief Ernest Couchie.Gillian Newland’s illustrations are a highly realistic, very evocative accompaniment to Dupuis’ text. They set the tone and establish the mood of the story. The reading level of the text would make it accessible to children in upper elementary school. The subject matter, however, suggests its appropriateness for older students, as well, for it raises such issues as child rights, parental rights, Canadian constitutional rights, and Indigenous rights. I Am Not a Number would be an excellent starting point for anyone pursuing these issues.Highly Recommended: 4 stars out of 4Reviewer: Leslie AitkenLeslie Aitken’s long career in librarianship involved selection of children’s literature for school, public, special, and university collections. She is a former Curriculum Librarian at the University of Alberta.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.262 | 0.125 |
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".