Against All Odds: Resilience in Single Mothers of Children with Disabilities
Bibliographic record
Abstract
There is a substantial body of literature that explores family adaptation within the context of childhood disability. However, closer analysis indicates that the primary focus of this research is concentrated on two-parent family systems. Despite evidence to suggest that single mothers are more likely to be parenting children with disabilities, their experiences have received minimal attention within social science research. Furthermore, when single mothers do become the focus of study, much of the attention is directed toward identifying the deficits within their family systems. Grounded in an integrated family resilience framework, the intent of this study was to explore the family adaptation of single mothers of children with disabilities within a longitudinal framework and to identify the individual, family, social, and environmental factors that contribute toward resilience within this population. Study participants consisted of 15 single mothers who had previously participated in the "Family Strengths and Childhood Disability" research project. Mothers were interviewed with the view toward identifying their perceptions of what constitutes risk and protective factors, and exploring these in the context of family adaptation and resilience. Findings revealed a marked contrast between public discourses about single motherhood and childhood disability and the personal narratives of the mothers in this study. Concepts of family resilience were revealed by mothers who challenged definitions of single mothers as inadequate, who disputed the definition of their children as "disabled," and who moved from a position of received to authoritative knowledge. The study demonstrates that in contrast to public perceptions, single mothers of children with disabilities view their experiences as personally transformative and as a means of building confidence that empowers them to further disrupt negative expectations of their families.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".