Shutting the Window: the Loss of Innocence in Twentieth-Century Children's Literature
Bibliographic record
Abstract
A century ago, when J.M. Barrie created Peter Pan, childhood was often portrayed as the ultimate space of freedom -- a time of fantasy, of imagination, of minimal responsibility. Yet, today, if children's literature over the past century is telling us any story, it is the story of the loss of childhood as a time of wonder, of guiltless exploration, and of unquestioned stability. It is the story of a loss of innocence. So much children's literature today tells that childhood is no longer an ultimate space of freedom, but a space of restriction. Without a doubt, this is in large part a reflection of the current state of the world. This essay argues that while Childhood may never again be a time of wonder, of guiltless exploration, of unquestioned stability, children's stories will always stand with children in their experiences, good or bad, offering solidarity, comfort, and hope. In the midst of telling of childhood's loss of innocence, children's literature has never failed to of...
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.021 | 0.041 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".