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Record W2093208850 · doi:10.1007/s40474-014-0033-3

Autism: A Global Perspective

2014· article· en· W2093208850 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Developmental Disorders Reports · 2014
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsGlobeAutismPerspective (graphical)Intervention (counseling)Global healthQuality of life (healthcare)Low and middle income countriesPublic healthMental healthPsychiatryPsychologyEpidemiologyMedicineDeveloping countryEconomic growthEconomicsPathology

Abstract

fetched live from OpenAlex

Epidemiological data estimates the presence of 52 million cases of autism worldwide, affecting around 1 %-2 % of children across the globe. There has been a recent increase in interest regarding similarities and differences in the manifestations and the impact of the condition in different world regions. Despite this interest, however, evidence remains limited in low- and middle-income countries (LMICs), and it has been difficult to draw public and policy-maker attention to autism in particular and neurological and mental health conditions more generally in these countries. We adopt a global life-span perspective by reviewing the current state of the science of autism. We include prevalence and global burden of the condition with models for identification and intervention in community based settings from early childhood to adulthood in both high-income countries and LMICs. We conclude with a summary of relevant recent research priorities for improving quality of life for people affected by the condition around the globe.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.032
GPT teacher head0.328
Teacher spread0.296 · 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