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Record W2420026294

Book review : Berries for brains

2001· article· en· W2420026294 on OpenAlexvenueno aff
Jessica Mendes

Bibliographic record

VenueCanadian Medical Association Journal · 2001
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsnot available
Fundersnot available
KeywordsTheme (computing)Order (exchange)SurrenderFableStorytellingHistoryFantasyArtArt historyLiteratureAestheticsNarrativeComputer science
DOInot available

Abstract

fetched live from OpenAlex

Catch a falling star Gayle Grass; illustrated by Coral Nault Iris the Dragon Inc., Lombardy (ON); 2001 45 pp; colour illustrations throughout $15.95 ISBN 0-9688532-0-X Available: Otter Creek, RR #1, Lombardy ON K0G 1L0 moc.liamtoh@nogardehtsiri We all need an escape every so often: a good malt scotch, an episode of Seinfeld, a little lazy jazz — where there's a will, there'll always be a way. It could be said that the richest avenue for this purpose, though, is the complete and utter surrender to a good story, the best of them taking us away time and time again. Whether they be fairy tales, biographies or big screen melodramas, the boldest of the lot resist the trend to sanitize their message. That's why I was so taken by Shrek, an animated film about a large green ogre whose life is turned upside down. A fairy tale with a twist, its main theme is that things are often not as they seem, and it parodies stereotypes at every turn. “You're supposed to sweep me off my feet,” frets the disgruntled princess to the not-so-knightly Shrek. A dissident fable for the thinking mind, it never resorts to condescension in order to make a point. It's too bad the same couldn't be said for Catch a Falling Star, a new “made-to-order” fairy tale about mental illness in children. Though clearly a book with its heart in the right place, it assumes very little intelligence on the part of the child. In it, a young boy (Fish) is supposedly in the early stages of mental illness because he sometimes can't concentrate at school. Iris the Dragon befriends him, they go fishing together, and Fish talks about his worries. “Our brains can get sick, Fish,” Iris tells him. “Did you know that picking berries is good for your brain?” she asks. No, replies a confused Fish, asking how that could help. “It exercises your brain parts … picking them all sorts of ways, first with your right hand and then with your left … .” The boy depicted looks somewhere between 8 and 14 — a tad too old for Romper Room antics. Other problems are evident in this book. Of great concern is that it takes common experiences — restlessness, frustration and confusion — and renders them “the early stages of mental illness.” An idea that would have most North Americans on their way to the crazy house, it raises serious doubts about how we define mental health. This book would have you believe there is a state of “normality” free of worry, stress or “unjustified” feelings. It also adds weight to the view that mental illness is increasing — but whether or not this is indeed true is a matter of much debate. Some would argue that the real problem lies in a growing range of human behaviour finding its way to the DSM (social anxiety disorder is a case in point). With 2 to 4 million of North American kids now on psychotropics, this no doubt merits critical study. Integral to well-being is the interpretation of experience: mental health is bred by values we instill. That's why books on the subject should know their place, particularly in educating young minds. A shift in perspective is called for here. What would it mean if, instead of a “symptom,” anxiety became evidence of a desire to do better? Dag Hammarskjold once said, “Bless your uneasiness, as a sign there is still life within you.” Kids with spunk can get anxious pretty easily when something's bothering them. Without a way to ground that energy (think spinning wheels on a jeep without dirt) anxiety tends to turn on itself. Fish is under stress, and he's asking a lot of questions. Do we treat him as “sick” or hail him as “driven”? Shouldn't we be more concerned with kids who don't question? At least Fish gives a damn. Yet, with all his gumption, his efforts are hardly met. Reassurance abounds and berries are picked, but at no point is Fish counselled on self-reliance — to the contrary. “Sometimes we can't solve our problems on our own,” Iris tells Fish, without first helping him to do just that. Instead, we hear vague reference to “special people” at clinics he can “stay at for a while,” and off he goes. Are we talking about psych wards, here?! For kids who can't concentrate at school?! Catch a Falling Star is the first in the Iris the Dragon series on mental health problems in children. One can only hope that, in coming instalments, the details of “prevention” are taken more seriously. Professed to be part of the book's purpose, we hear almost nothing about it. Staff and parents talk ways to keep his brain healthy, but we are not privy to what this entails. And that is the book's most significant flaw: it fails to inform us in places it should. The author seems more concerned with “disassociat[ing] the topic from the real world” and with starting a “Dear Iris” fan club (the press package includes a letter-writing form). On a similar note, it seems that a sizable effort went into rounding up praise or least the suggestion of such. Endorsements come from a number of sources, but words ring hollow with bloated predictions. Some have logos, while others are listed with stars. What is it, exactly, that they are backing? A children's Dear Abby in Iris the Dragon? Medicated “risk management”? Berries for brains? It's worth noting that the title of this book comes from the claim that, in legend, dragons must keep the stars from falling. Pity, since for as long as I can remember, falling stars meant imminent good fortune. Iris the Dragon would have you throw them back in the sky, perhaps in the same way she'd have all children perfect: always attentive, never worried and easily controlled.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.018
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.000

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.

Opus teacher head0.023
GPT teacher head0.288
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations2
Published2001
Admission routes1
Has abstractyes

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