"Get Your Child in Order:" Illustrations of Courtesy Stigma from Fathers Raising Both Autistic and Non-autistic Children
Bibliographic record
Abstract
Parents of autistic children report relatively high levels of parenting stress that includes experiencing stigma. Yet, research about stigma experienced by parents of autistic children is limited, and in particular, fathers' experiences are rarely documented. The purpose of this study is to illuminate courtesy stigma experiences of fathers of autistic children. We conducted a secondary analysis of narrative data from a subset of 16 fathers raising both autistic and non-autistic children. Fathers participated in in-depth interviews about successes and struggles in raising autistic children. Fathers experienced "felt stigma" in forms of censorship, isolation, guilt and defying stigma. Fathers navigate ableist stereotypes, which are interwoven with stereotypes of traditional masculinity. Fathers defy stigma but are also part of processes that perpetuate stigma. Further, understandings of the complexities of courtesy stigma are needed, particularly through studies that target fathers from diverse cultural, racial, family structural and socio-economic backgrounds.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".