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Record W4385477396 · doi:10.1177/13623613231188349

Short report: Recommendations for education, clinical practice, research, and policy on promoting well-being in autistic youth and adults through a positive focus on sexuality and gender diversity

2023· article· en· W4385477396 on OpenAlexaff
Jeroen Dewinter, Morénike Giwa Onaiwu, Maria L. Massolo, Reid Caplan, Els Van Beneden, Nikki Brörmann, Eileen T. Crehan, Lisa Croen, Susan Faja, Dena Gassner, Laura Graham Holmes, Cat Hughes, Morrigan Hunter, Monique Huysamen, Paola Jelonche, Meng‐Chuan Lai, Ilse Noens, Heta Pukki, Mark A. Stokes, John F. Strang, Anna Ir van der Miesen

Bibliographic record

VenueAutism · 2023
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsCentre for Addiction and Mental Health
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentInternational Society for Autism Research
KeywordsHuman sexualityDiversity (politics)AutismPsychologyInclusion (mineral)Gender diversitySexual orientationDevelopmental psychologySocial psychologyGender studiesSociology

Abstract

fetched live from OpenAlex

This short report presents recommendations to promote health and well-being relating to sexuality and gender diversity in autistic individuals. The recommendations were developed based on the latest available scientific knowledge coupled with a community-driven approach. An international group of autistic and non-autistic experts in the fields of autism, sexuality, and gender diversity and autistic advocates worked together to develop the initial recommendations; these recommendations were subsequently checked within the wider community through an online survey. Out of the original 11 recommendations, eight were rated above a consensus threshold. The final recommendations cover three themes: (1) providing education and information on sexuality, relationships, and gender diversity to autistic individuals and their families; (2) improving expertise in and accessibility to healthcare for sexuality, relationships, and gender-related questions, with specific attention to prevention of and support after sexual victimization; and (3) meaningful inclusion of the autism community in future research that addresses well-being related to sexuality, relationships, and gender diversity. The recommendations emphasize the need for additional awareness and offer cues to parents, professionals, and policymakers to promote sexual health and well-being of autistic individuals. Lay Abstract In this article, we propose recommendations on what we can do to promote that autistic people can enjoy their sexuality and gender identity, because that contributes to overall well-being. First, we briefly summarize the existing research on sexuality and gender diversity in autistic individuals. Next, we propose recommendations for how to promote sexual and gender diversity-related health and well-being. Based on what is known about sexuality, gender diversity, and relationships in autistic adolescents and adults, we convened an international group of autistic and non-autistic researchers, advocates, parents, and professionals to develop recommendations to promote sexual and gender health in autistic people. The resulting recommendations were checked through an online survey distributed to autistic people across the world. The online participants endorsed the importance of eight final recommendations related to: 1. Providing education and information on sexuality, relationships, and gender diversity to autistic individuals and their families; 2. Improving expertise in and accessibility to healthcare for sexuality, relationships, and gender-related questions, with specific attention to prevention of and support after sexual victimization; and 3. Meaningfully including the autism community in future research that addresses well-being relating to sexuality, relationships, and gender diversity. These community-driven recommendations aim to promote sexual health and well-being in autistic individuals internationally.

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)0.003
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.195
GPT teacher head0.489
Teacher spread0.294 · 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.

Study designTheoretical or conceptual
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

Citations16
Published2023
Admission routes1
Has abstractyes

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