Children’s and young adult novels: Australia, Canada, New Zealand, South Pacific
Bibliographic record
Abstract
© Oxford University Press 2017. This chapter examines the history of children’s and young adult fiction in Australia, Canada, New Zealand, and the South Pacific. During the mid-twentieth century, fiction for the young in Australia, Canada, and New Zealand did not yet occupy a prominent place. In Australia, most children’s fiction was produced and imported by British publishers. In Canada, markets and children’s reading practices were dominated by American and (to a lesser extent) British imports until 1975. In Australia and New Zealand, children’s novels began to gather strength in the late 1950s and 1960s. The chapter shows how the significance of children’s fiction in the project of nation-building became to be recognised as a result of the growth of the educational publishing industry following World War II. It also considers the transnational relationships that pervade children’s and young adult novels from Australia, Canada, New Zealand, and the South Pacific.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.010 |
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; both teacher heads agree on what is shown here.
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".