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Record W3185575176 · doi:10.1177/13623613211035229

Sociocultural context and autistics’ quality of life: A comparison between Québec and France

2021· article· en· W3185575176 on OpenAlexafffundabout
Vicky Caron, Nuria Jeanneret, Mathieu Giroux, Lucila Guerrero, Mélanie Ouimet, Baudouin Forgeot d’Arc, Isabelle Soulières, Isabelle Courcy

Bibliographic record

VenueAutism · 2021
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité du Québec à Montréal
FundersFonds de Recherche du Québec - Santé
KeywordsPsychologyQuality of life (healthcare)AutismContext (archaeology)Interpersonal communicationPerceptionDevelopmental psychologySociocultural evolutionInterpersonal relationshipPopulationSocial environmentSocial psychologyGerontologySociologyDemographyMedicineSocial scienceGeography

Abstract

fetched live from OpenAlex

Quality of life is important for the development and evaluation of interventions for autistic people. It is a multidimensional concept, anchored in a sociocultural context and based on a person’s subjective assessment of their life. The aim of this study is to examine whether the determinants of perceived quality of life vary by country (or culture) by comparing two groups of French-speaking autistic adults ( n = 430), one in France and the other in Québec (Canada). A cross-sectional survey was conducted to provide information on the quality of life (Autism Quality of Life Measure—ASQoL), diagnosis and health conditions, self-evaluation of autistic traits (Autism-Spectrum Quotient—AQ10), and sociodemographic characteristics of these two samples. The results of our comparison of French-speaking autistic adults in France and Québec suggest that sociocultural context has an impact on autistic people’s quality of life ( r 2 = 0.280). The Québec group reported a superior quality of life. The social experience of autism-related stigmatization emerges as a strong predictor of lower quality of life in both groups. However, the two groups differ with other predictors. This study demonstrates the importance of considering sociocultural context in measuring quality of life in autistic adults. It emphasizes the need for awareness programs and public campaigns aimed at identifying and countering stigmatization processes. Lay abstract What is already known about the topic? Quality of life refers to how people perceive aspects of their life such as physical health, material security, and interpersonal relationships. Studies have reported lower quality of life among autistic individuals than in the general population. What does this article contribute? This article contributes to a better understanding of quality of life and its measures from the point of view of autistic adults. By comparing two groups of French-speaking autistic adults from two different places (France and Québec—Canada), this research shows that the perception of quality of life and its determining factors differ for autistic adults living in each country. The Québec group reported a superior quality of life, and some quality of life predictors were different in each group. The social experience of autism-related stigmatization, however, was a powerful predictor of quality of life for all. Implications for practice, research, and policy To promote a higher quality of life for autistic people, it is important to consider the sociocultural context and implement awareness programs and public campaigns aimed at identifying and countering stigmatization processes.

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)0.001
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 score0.112
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.073
GPT teacher head0.357
Teacher spread0.285 · 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

Citations29
Published2021
Admission routes3
Has abstractyes

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