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Record W4392155402 · doi:10.1089/aut.2023.0157

Access Points: Understanding Special Interests Through Autistic Narratives

2024· article· en· W4392155402 on OpenAlexfundno aff
Rebecca-Eli M. Long

Bibliographic record

VenueAutism in Adulthood · 2024
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsnot available
FundersCollege of Liberal Arts, Purdue UniversitySociety for Visual AnthropologyCenter for Craft, Creativity and DesignPurdue University
KeywordsAutismPhraseNarrativeRelation (database)PsychologySpecial Interest GroupPublic relationsDevelopmental psychologyPolitical scienceLinguisticsLawComputer science

Abstract

fetched live from OpenAlex

Background: Although autistic people have shared how important their interests can be, sometimes using the phrase "special interests," autistic interests are commonly pathologized. Research has begun to recognize the benefits of special interests for autistic people. These benefits are often investigated primarily in childhood and in relation to neuronormative aims. In addition, existing research leaves the definition of "special interests" unquestioned. This study adds to the literature by examining not only what autistic adults mean by "special interests," but how they explain why these interests matter. Methods: The researcher interviewed 15 adult autistic advocates in the United States about their "special interests" to understand what this term meant to them based on their own life experiences. Through critical qualitative analysis of interview transcripts, including iterative inductive-deductive coding, hierarchical code organization, and positional mapping, the researcher looked for similarities and differences in how participants conceptualized special interests. Results: Participants used three different narrative strategies to describe special interests and their importance: explaining the amount of time spent on the interest, discussing how they experience the interest, and comparing special interests with other types of interests. Autistic people said that their interests mattered to them personally, as well as helped them communicate and connect with others. Participants also shared that it was important for non-autistic people to know about why special interests matter to autistic people and create a more accepting society. Conclusions: The concept of "special interests" meant different things to the autistic people in this study. Even so, participants saw special interests as generally important and an aspect of their lives that should be societally supported. The narratives of special interests collected in this project challenge stereotypes of autistic people as disconnected and asocial. Instead, this study demonstrated how special interests take on increased individual and societal importance for autistic people.

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)0.006
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 score0.010
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0090.015
Scholarly communication0.0070.011
Open science0.0020.015
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.104
GPT teacher head0.379
Teacher spread0.275 · 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

Citations13
Published2024
Admission routes1
Has abstractyes

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