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Record W2154002310 · doi:10.5539/res.v4n2p18

Demographics Associated with Autistic Spectrum Diagnosis in England

2012· article· en· W2154002310 on OpenAlexvenueno aff
Mischa Mockett, Lydia Kinton, Louise Theodosiou

Bibliographic record

VenueReview of European Studies · 2012
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsnot available
Fundersnot available
KeywordsDemographicsAutismAutistic spectrumMental healthPsychologyIntervention (counseling)Medical diagnosisPsychiatryTest (biology)Clinical psychologyMedicineDemography

Abstract

fetched live from OpenAlex

There is a growing body of work elucidating the demographics surrounding autistic spectrum disorders. This study sought to develop the local evidence base, enhance the awareness of educationalists in north Manchester and test the hypothesis that young people from all cultural groups are able to access the mental health service. The Social Communication Assessment and Intervention Team in the North Manchester Child and Adolescent Mental Health Service received 89 referrals of children with suspected autism between April 2010 and June 2011. Information was available about 69 cases. Some cases are still in the process of assessment while 20 children and young adults have received a diagnoses of autistic spectrum disorders; 4 African Caribbean, 11 White British, 3 Pakistani, 1 dual heritage and 1 did not complete the form. Further demographics and implications for training are discussed.

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)0.002
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.339
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.081
GPT teacher head0.343
Teacher spread0.263 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

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