The Rabbit Who Wants to Fall Asleep: A New Way of Getting Children to Sleep by C.-J. Forssen Ehrlin
Bibliographic record
Abstract
Forssen Ehrlin, Carl-Johan. The Rabbit Who Wants to Fall Asleep: A New Way of Getting Children to Sleep. Illus. Irina Maununan. New York: Crown Books for Young Readers, 2014. Print.Carl-Johan Forssen Ehrlin, the psychologist who wrote this book, introduces the work with instructions for its calm, slow, emphatic reading. He then begins the bedtime story proper, a ten page text in which he uses the word sleep or one of its variants (asleep, sleeping, sleepy) approximately 100 times. It may be that he uses the words “yawn,” “tired,” and “relax” just as frequently; frankly, it seems too daunting a task to count and confirm this possibility. The literary effect is tedious—given the subtitle, probably intentionally so. There is a storyline, albeit a thin one. It is much enhanced by the delicate drawings by Irina Maununen; a young child might well pore over these. However, storytelling is not the main purpose of the book. Its main purpose would appear to be hypnosis. That is just a guess; the publisher’s blurb does not actually confirm it. The blurb does, however, rave about the book’s ability to put children to sleep. Quite so. This is not a work of children’s literature; it is a “how to” book for adults. Its advice should not replace common sense. Childhood sleeplessness can stem from serious causes. It can be the result of underlying medical conditions, of pain, of breathing difficulties. It can indicate worrisome psychological states: stress, anxiety, and fear. It can be the result of a socio-economic environment that is typified by deprivation and hunger, domestic instability, the presence of danger. A book outlining hypnotic techniques does not obviate any of these root causes of sleeplessness. However, in the event that they are all ruled out or remedied, and that a child is found to suffer from nothing more than a deep need for the comforting presence of a loving adult as he or she falls asleep, why not just ensure that one can be there?All this being said, the book is currently popular. As I write this review, my public library lists thirty holds on fourteen copies of it. Many parents must be waiting in line for an introduction to Forssen-Ehrlin’s methods. Meanwhile, the old standbys of sleep induction, the rocking, the reassuring, the crooning of lullabies, might just prove equally effective as his book.Not RecommendedReviewer: Leslie AitkenLeslie Aitken’s long career in librarianship involved selection of children’s literature for school, public, special and academic libraries. She is a former Curriculum Librarian of the University of Alberta.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.008 |
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".