The Missing Voices-Mothers Raising Children With ADHD: A Qualitative Inquiry
Bibliographic record
Abstract
Attention Deficit Hyperactive Disorder (ADHD) is a behavioural disorder commonly diagnosed among children. The symptoms associated with the diagnosis not only affect the child, but everyone connected to the child. For mothers raising children with ADHD there are often various demands and pressures placed on them. This major research paper addresses some of these mothering experiences through a qualitative methodology known as narrative inquiry (NI). This study centers mothers’ stories of everyday encounters at home, school, in medical clinics, and within the community. It also takes up these narratives through the framework of critical feminist race theory (CRFT), with a pinch of Foucauldian philosophy addressing knowledge, power, and governmentality through bio-politics. Jonathan Gottschall said it best, “We are, as a species, addicted to story. Even when the body goes to sleep, the minds stays up all night, telling itself stories.” I invite you on a journey of stories through the eyes of every loving mother raising a child with ADHD.
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.
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 | 0.023 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.016 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| 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".