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Record W4414084637 · doi:10.1177/13623613251369908

Nor weak ties, nor strong ties: Personal support networks and relations between autistic peers

2025· article· en· W4414084637 on OpenAlexafffundabout
Isabelle Courcy, Noémie Cusson, Nuria Jeanneret

Bibliographic record

VenueAutism · 2025
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversité du Québec à MontréalUniversité de Montréal
FundersFonds de Recherche du Québec - SantéSocial Sciences and Humanities Research Council of Canada
KeywordsAutismSocial supportThematic analysisSocial network (sociolinguistics)Qualitative researchSocial network analysisReflexivityPeer support

Abstract

fetched live from OpenAlex

The aim of this study is to analyze egocentric social networks of 31 autistic adults in Québec (Canada). We examined the composition of their proximal personal support network and the role of support shared among autistic peers. A mixed method analysis was used. An egocentric network questionnaire that included qualitative prompts was conducted to gather participants’ interpretations and reference systems, facilitating an understanding of networks’ multidimensional aspect. A reflexive thematic analysis was conducted with a subset of the data from the qualitative prompts. Three main themes were identified: (1) interference in social interactions, (2) mutual acknowledgment, and (3) social engagement in the community. Most participants ( n = 21) mentioned autistic peers, but although these peers may have provided support, participants rarely identified them as being part of their proximal personal support network. Results nevertheless highlight the importance of peer support for several participants, which can refer to the concept of “weak ties,” but they differ from it by the exchanges of emotional support, which are normally expected from “strong” ties. Lay abstract Social support is recognized as an important predictor of quality of life in autistic and neurodivergent people. However, few studies have explored in detail the composition of support networks in autistic adults. Moreover, research on social networks in the field of autism has mainly focused on the support networks of experts and parents. This article presents the results of a study that analyzed the composition of the support network of 31 autistic adults and examined the role of autistic peer support in their network. Interviews were conducted with the participants. Most of them ( n = 21) mentioned autistic peers in their social network. Although these peers provided unique types of support, participants rarely identified them as close friends or relatives. Nevertheless, the results underline the importance of peer support for participants, which often presented itself as empathetic listening, the sharing of advice to deal with everyday life issues and company for recreational activities. This study shows that we should not underestimate the support that can be provided by people who share a common experience, even if they are not considered close friends. It paves the way to thinking about how communities and professionals, such as social workers and educators, can support opportunities and facilitate spaces that foster peer support.

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 score0.643
Threshold uncertainty score0.717

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.301
Teacher spread0.273 · 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".

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Citations2
Published2025
Admission routes3
Has abstractyes

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