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Record W2589384970 · doi:10.11575/prism/30136

Fostering a Workforce of Equal Opportunity in Alberta: An analysis of adolescent transitional supports for students with Autism Spectrum Disorder

2015· article· en· W2589384970 on OpenAlexaboutno aff
Ashley Vogeli

Bibliographic record

VenueOpen MIND · 2015
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsnot available
Fundersnot available
KeywordsWorkforceAutism spectrum disorderAutismPsychologyDevelopmental psychologyEconomic growthEconomics

Abstract

fetched live from OpenAlex

This paper analyzes the services provided to Albertans who have been diagnosed with Autism Spectrum Disorder (ASD) as they transition from childhood to adulthood. The assessment of the services provided will be based on a review of the existing literature. For the purpose of this paper, childhood is defined as the time when someone is eligible for publically funded education in Alberta. The transition to adulthood takes place when the person is no longer eligible for publically funded education. For some students diagnosed with ASD, this can be up to 20 years of age, or grade twelve, whichever comes first. This document aims to make a case for the increase and modification of current services provided by the Government of Alberta for individuals diagnosed with Autism Spectrum Disorder (ASD). Individuals diagnosed with ASD transitioning from publically funded education into the labour market require greater support from our government and community. It is in the best interest for individuals diagnosed with ASD, the greater community, government and economy, to include all productive and capable individuals in the labour market. From a financial perspective, once public investment has been made in the education of a student diagnosed with Autism Spectrum Disorder, it does not make sense to discontinue supporting the individual as soon as their education concludes.

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)0.003
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 score0.087
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0020.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.166
GPT teacher head0.414
Teacher spread0.249 · 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
Published2015
Admission routes1
Has abstractyes

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