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Record W4207076867 · doi:10.1177/13623613211070637

Exploring potential sources of childhood trauma: A qualitative study with autistic adults and caregivers

2022· article· en· W4207076867 on OpenAlexaff
Connor M. Kerns, Stephen E. Lankenau, Paul Shattuck, Diana L. Robins, Craig J. Newschaffer, Steven Berkowitz

Bibliographic record

VenueAutism · 2022
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of British Columbia
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsAutismPsychologyQualitative researchDevelopmental psychologyClinical psychology

Abstract

fetched live from OpenAlex

The stressors autistic individuals encounter and experience as traumatic may vary from non-autistics. We conducted a qualitative study to identify potential sources of trauma for autistic individuals and evaluate correspondence with a standard measure. We enrolled autistic adults ( N = 14) and caregivers ( N= 15) with varied adversities, levels of functioning, and socio-demographics. Participants completed standard measures of autism, traumatic exposures and stress, and qualitative interviews, which were submitted to thematic analysis. A wide range of experiences were described as traumatic. Whereas some reflected traditional traumas (e.g. maltreatment) and forms of social marginalization, others reflected conflicts between autistic characteristics and the environment (e.g. sensory trauma). All adults and caregivers described sources of trauma in interviews not captured by standardized measures. Varied stressful experiences, many not detected by a standardized measure, may have a traumatic effect on autistic individuals. Whereas some reflect commonly recognized trauma sources, others may reflect particular vulnerabilities for autistic individuals. Results have implications for assessing traumatic events and understanding their contribution to mental health inequities in the autistic population. Lay abstract The stressors autistic individuals encounter and experience as traumatic may vary from those not on the spectrum and typically measured. We conducted in-depth interviews with autistic adults and caregivers of children and adults on the spectrum to identify potential sources of trauma for autistic individuals and evaluate the ability of a standard trauma measure to capture those experiences. Fourteen autistic adults and 15 caregivers with varied backgrounds, clinical profiles, and histories of adversity were interviewed. Participants also completed standard measures of autism, traumatic exposures, and stress. Interviews were analyzed to record both traditional sources of trauma, for comparison with the standard measure, and distinct sources, described as traumatic only in the narratives of participants. Participants described varied experiences as traumatic. Whereas some reflected traditional traumas (e.g. maltreatment) and forms of social marginalization, others reflected conflicts between autistic characteristics and the environment (e.g. sensory trauma). All adults and most caregivers described sources of trauma in interviews not reported on the standard measure. Results have implications for assessing traumatic events in autism and for understanding their contribution to the mental health of this group.

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)0.008
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0130.008
Scholarly communication0.0030.003
Open science0.0020.006
Research integrity0.0020.003
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 head0.048
GPT teacher head0.326
Teacher spread0.278 · 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 designQualitative
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

Citations61
Published2022
Admission routes1
Has abstractyes

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