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The Little Prince: a glimpse into the world of autism?

2017· article· en· W2768968109 on OpenAlexaff
Jean-François Lemay, Genevieve Eastabrook, Heather MacKenzie

Bibliographic record

VenueArchives of Disease in Childhood · 2017
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsWestern UniversityUniversity of Calgary
Fundersnot available
KeywordsMedicineAutismPediatricsPsychiatry

Abstract

fetched live from OpenAlex

Both simple and complex, The Little Prince (a book written by Antoine de Saint-Exupery in 1943) has intrigued readers for nearly 75 years. Although innocently presented as a children’s book, Antoine de Saint-Exupery’s novella is one of the best-selling, most widely interpreted books ever published. Its deeper meaning has been scrutinised by scholars over the decades. In this paper, we suggest one more interpretation of the beloved classic: to promote a broader understanding of people with autism spectrum disorder (ASD), particularly those with what used to be known as Asperger syndrome (AS). Illustrating similarities between the Little Prince (a fictional character in the book The Little Prince ) and children with ASD may enable those less familiar with neurodevelopmental disorders to better relate to young people on the autism spectrum. To our knowledge, no other published reports have addressed the relationship between the Little Prince and AS. In 1944, Hans Asperger, a Viennese paediatrician, described four children as ‘little professors’ with ‘autistic personality disorder.’1 These children were naive, absorbed in circumscribed interests and egocentric in their social interactions. Despite age-appropriate grammar and vocabulary, their talk was repetitive with unusual intonation patterns, odd body language and poor motor coordination. These shared features became collectively known as AS.2 In the most recent revision of the Diagnostic and Statistical Manual of Mental Disorders , AS was subsumed under the umbrella term ASD.3 ASD includes impairments in social communication and interactions, as well as restrictive, repetitive or stereotypic patterns of behaviour. Regardless of the future for AS as a valid and meaningful clinical construct, its short existence has had an undeniable impact on public interest in autism.4 In order to reduce reader confusion, the term AS has been used predominantly throughout this manuscript. The basic premise of The Little Prince involves a pilot, …

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.002
Science and technology studies0.0040.014
Scholarly communication0.0070.016
Open science0.0010.005
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0060.002

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 head0.014
GPT teacher head0.299
Teacher spread0.284 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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
Published2017
Admission routes1
Has abstractyes

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