Patterns and Trends in Contemporary Canadian Verse-Novels for Young People
Bibliographic record
Abstract
This qualitative content analysis identified patterns and trends in a contemporary set of Canadian verse-novels for young people. Twenty-two books were located in our search for titles published between 1995 and 2016, and many of these emerged as award-winners in various contexts including the Governor General’s Award for children’s literature (text). Dresang’s notion of Radical Change, adapted for this interrogation, illuminated particular elements of these societal artifacts worthy of notice. While studies have occurred regarding textual forms or formats and reader characteristics, specific work with the verse-novel and its use with struggling and reluctant readers is limited, with professional articles appearing in place of research-oriented discussions. Scrutiny of available verse-novels is important as it opens a door for explorations of these resources with participants in classroom settings.
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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 | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.014 | 0.017 |
| Science and technology studies | 0.018 | 0.012 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".