“Tuned into a different channel”: Autistic transgender adults’ experiences of intersectional stigma.
Bibliographic record
Abstract
In this critical-constructivist grounded theory study, we interviewed 13 autistic-transgender, nonbinary, and/or gender diverse (TNG) individuals on the intersection of their autistic-TNG identities and how they resisted marginalization related to these experiences. Analysis revealed the experiences of living in a world that "doesn't seem quite set up the right way" and situated autistic-TNG experiences in complex set of intersectional processes that require navigating relationships, health care systems, and safety challenges living in a heterosexist, cissexist, and ableist society. Participants had to constantly assess the safety and disclosure of their identities in the face of oppressive systems while claiming space and creating community that affirmed them. We conclude by highlighting the importance of taking an intersectional lens to highlight the many positive aspects of being autistic and TNG, which have been largely absent in research and clinical dialogues. We provide some suggestions for providing culturally responsive mental health and ways neurotypical and cisgender people can begin to challenge ableist and cissexist narratives in their clinical practice and research, alongside autistic-TNG people. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.016 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".