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Record W4367321277 · doi:10.26822/iejee.2023.294

Adulthood Begins in Preschool: Meaningful Curriculum in Support of Increased Independence for Individuals with Autism

2023· article· en· W4367321277 on OpenAlexaff
Peter F. Gerhardt, Shanna Bahry, Natalie M. Driscoll, Jessica Cauchi, Brian K. Mason, Madhura Deshpande

Bibliographic record

Venuelnternational Electronic Journal of Elementary Education · 2023
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsHamilton Health SciencesCanadian Association of Gastroenterology
Fundersnot available
KeywordsCurriculumAutismIntervention (counseling)Independence (probability theory)PsychologyDevelopmental psychologyPedagogy

Abstract

fetched live from OpenAlex

A meaningful curriculum is one that is individualized, inclusive of the individual’s unique needs and interests, and focused on building independence in current and future environments. A meaningful curriculum addresses an individual’s needs and prioritizes instructional programs based on what is, potentially, most important to their lives and not simply a somewhat arbitrary list of isolated skills. A meaningful curriculum is one that puts as much emphasis on skill acquisition outside of the classroom as it does on skill acquisition within the classroom or school. Unfortunately, the use of meaningful curricula to educate autistic students would seem to be something of a rarity, which may help to explain the consistently poor outcomes that individuals with autism and related disorders experience in adulthood. In this article, the authors make recommendations that may help practitioners to mitigate these outcomes by providing instruction in curricula that place a focus on adaptive behavior skills, the intersection of the individual, respectful intervention, and an emphasis on these important topics beginning in preschool, and increasing in importance and complexity across the lifespan.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.545

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.316
Teacher spread0.303 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2023
Admission routes1
Has abstractyes

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