Images of childhood and the implied reader in young children's information books
Bibliographic record
Abstract
Abstract Images of childhood are ideas and expectations of childhood and children, and are reflections of individual perception and cultural ideologies. In writing children's books, authors draw on their conscious and unconscious thoughts of childhood to create an implied reader. In this paper I investigate images of childhood through examination of the portrayal of the implied reader in a selection of information books, a genre that is often overlooked for beginning readers. Three books of various sub‐genres, topics and presentation styles were examined for images of childhood and the child in the text and illustrations. Some images include childhood in formal education, the child as a co‐constructor, the child as a cultural reproducer, and childhood as a time of innocence and play. The construct of the implied reader shapes the reader and the reading experience, and is thus an element of the power of the text; awareness of the implied reader and the real reader response can help in teaching young children to read both with and against the text. When selecting information books, attention to their images of childhood as well as to the quality of the information they provide, will help to optimise young children's early reading experiences.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".