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Factor Structure of the Bulgarian CAST: (Childhood Autism Spectrum Test)

2016· article· en· W2487599613 on OpenAlex
Mila Vulchanova, Liubomir Djalev, Margarita Stankova, Valentin Vulchanov, Carrie Allison, Simon Baron‐Cohen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2016
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsnot available
Fundersnot available
KeywordsBulgarianTest (biology)Autism spectrum disorderAutismSpectrum (functional analysis)PsychologyDevelopmental psychologyPhysicsLinguisticsGeologyPhilosophy

Abstract

fetched live from OpenAlex

The number of studies addressing the latent structure of specific screening and diagnostic tools for autism spectrum conditions is still limited. The current study explored the latent structure of the Bulgarian CAST (Childhood Autism Spectrum Test) in screening for autism in the Bulgarian population. The data were analysed using factor analyses. A hierarchical model with two primary factors yielded best data fit. This structure is consistent with the two main categories adopted in the DSM-5 and current accounts of the range of conditions broadly falling into two main clusters of symptoms. These results confirm the validity of CAST as a tool for screening for autism spectrum conditions in other cultures and support the construct validity of the model and criteria included in the DSM-5. Furthermore, our results demonstrate how factor analysis can be exploited to reveal the underlying structure of screening tools aimed at capturing the behavioural traits of deficit phenotypes.

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.

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)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.363
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.032
GPT teacher head0.279
Teacher spread0.248 · 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