Every Day is Malala Day by R.A. McCarney & Plan International Canada
Bibliographic record
Abstract
McCarney, Rosemary A. and Plan International Canada. Every Day is Malala Day. Toronto: Second Story Press, 2014. Print.In 2013, Malala Yousafzai became the youngest person ever to be nominated for a Nobel Peace Prize: in 2014 she became the youngest person ever to win one. This book is a simple and eloquent tribute to her achievement. Malala’s name and story have much contemporary resonance. The Taliban’s attempted assassination of her in October of 2012 was instantly conveyed around the globe by the international media. This Pakistani school girl, who was outspoken on the issue of female education, had been shot while riding innocently home on a school bus. Flown to England, she was hospitalized, underwent surgery, fought for life and survived. With recovery came renewed defiance of her would be assassins. Malala continued to speak out in her cause — most notably at the United Nations Youth Assembly on July 12, 2013 where she riveted the attention not only of the 1000 delegates present, but also of the entire listening world. The Secretary General of the United Nations proclaimed that day to be “Malala Day.”The premise of McCarney’s book is that every day is “Malala Day” for some little girl, somewhere. Plan International has contributed sensitive photographs from around the world attesting to McCarney’s theme: Malala’s courage and determination are a beacon of hope, a source of inspiration.This book details a piece of history not to be forgotten. Buy it. Buy it for your libraries and classrooms. Buy it for the children you love — and their children. Buy it for that bright and future day when all children, regardless of gender, have the opportunity to be educated, and a complacent world asks, “Was it not always thus?”Reviewer: Leslie AitkenHighly recommended: 4 out of 4 starsLeslie 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.144 | 0.051 |
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".