A feminist analysis of motherhood : subtitle experiences of mothers of a child with autism have with their support system
Bibliographic record
Abstract
Some feminist theorists have commented that feminism has succeeded only up to a point - and that point is motherhood. Motherhood, these theorists say, remains one of society's greatest untold stories. This study examines the subjective experiences of one small but important segment of mothers - mothers of a child with autism. The current literature on this topic is mainly focused on the autistic child and only recently has the impact on family members been explored. What relatively little literature exists is focused on "parents", not mothers, thus hiding the gendered nature of care, and is mainly quantitative, anecdotal, and focused on the impact of caring for children with generalized "special needs" - not on children with autism. To date, there has not been a comprehensive gender-sensitive qualitative study about the experiences of mothers caring for a child with autism. The goal of this study is to better understand the personal experiences of these mothers in terms of their interaction and relationship with their support system. Information was gathered through the use of semi-structured interviews with eight mothers. Analysis of their transcripts revealed three themes. Mothers experienced and felt: (1) ignored; (2) abandoned; and (3) like burdened "Supermoms."
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".