Fear and Foliage: The Role of the Forest in the Picture Books of Molly Bang
Bibliographic record
Abstract
Our understanding of the birth of a book often begins with the author's creation of the narrative text. To this the illustrator adds pictures, enhancing the story's meaning with visual expression. But in Bang's picture books, the classic understanding of illustration as embellishment is upturned; she begins with a picture from which her story unfolds. Her picture books - The Grey Lady and the Strawberry Snatcher, Goose, Old Mother Bear and When Sophie Gets Angry-- Really, Really Angry... - provide a sampling of unconventional representations of picture-text relations where the role of the forest becomes a place of accommodation for the conveyance of emotional suspense within the narratives. In this selection of four major works illustrated by Molly Bang, the relationship between text and image does not disintegrate meaning in one entity or the other but each enhances the other's presence within a unified whole, achieving communality within the experience of storytelling.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".