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Record W7133050518

Asperger's syndrome and the transition to adulthood: An examination of equity issues and program effectiveness within the Ontario secondary school system

2007· dissertation· W7133050518 on OpenAlexaboutno aff
Melissa Sarah Abbey

Bibliographic record

VenueTSpace · 2007
Typedissertation
Language
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsnot available
Fundersnot available
KeywordsNature versus nurtureEquity (law)Sample (material)Transition (genetics)Secondary educationSet (abstract data type)Program evaluationAutism
DOInot available

Abstract

fetched live from OpenAlex

This study examined programming 'effectiveness' within Ontario secondary schools to determine how well adolescents with Asperger's Syndrome (AS) are being prepared for their transition to adulthood. More specifically, this research questioned whether education, as a site of social learning, enables youth with AS to obtain a positive identity and set of skills to prepare them for life beyond high school. Through the analysis of interviews conducted with two samples (one sample being high school graduates with AS, the other were professionals working in the field of Autism Spectrum Disorders), this study serves to report on, and open up a space for, research about AS within the social considerations of educational settings. This study attempted to show where educational programming can nurture adolescents with AS, however, the purpose of this inquiry was based upon the assumption that secondary school education may not be doing enough to prepare these students for the reality of adulthood. Through the analysis of varied programming measures used within Ontario secondary schools (specifically in areas of special education) this study's foundational assumptions were confirmed, and accordingly, several issues have been proposed for further investigation.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.162
Threshold uncertainty score0.326

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.402
Teacher spread0.370 · 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 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

Citations0
Published2007
Admission routes1
Has abstractyes

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