Picturing Canada: The changing face of children's book illustration in Canada (Lecture)
Bibliographic record
Abstract
Presented at the 11th annual Sybille Pantazzi Memorial Lecture, Toronto, Canada (October 17, 2017). In the lecture, “Picturing Canada: The Changing Face of Children’s Book Illustration in Canada,” Dr. Gail Edwards and Professor Judith Saltman explore change and continuity in the history of children’s publishing in Canada by looking at the picture books that the publishers have issued, and consider the challenges and rewards of publishing for children in a rapidly evolving global environment, focusing on the ways that image and text in Canadian picture books provide Canadian children with the opportunity to see their everyday lives and communities, and introduce them to ideas about region, about place, about history, about identity and belonging in a diverse, complex country. The first part of the lecture was based on research for Picturing Canada. Individual titles were located and present mini case studies in the evolution of the communications circuit of children's publishing in Canada over the last 150 years. The final section of the lecture was an informal dialogue about the transformation of the children's publishing industry in the last decade in response to changes in the retail book trade, new digital media, increasing globalization based on current individual and joint research. \nAccompanying the lecture was a PowerPoint presentation that incorporated visual material from the book, Picturing Canada as well as book covers and illustrations from more recent publications. Due to copyright the PowerPoint presentation is not available. The book Picturing Canada is available in the Douglas Library collection.
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 | 0.002 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.026 | 0.002 |
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".