“Tuned into a different channel”: Autistic transgender adults’ experiences of intersectional stigma.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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).
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it