Attributions and perceptions of childhood in women with ADHD symptomatology
Bibliographic record
Abstract
Now that it is recognized that Attention-Deficit/Hyperactivity Disorder (ADHD) often persists into adulthood, there are many adults being identified with ADHD who were not diagnosed as children. Individuals identified with ADHD during adulthood may be at risk for maladaptive attributional styles based on the notion that they were exposed to more negative feedback during childhood than adults without identified ADHD. This study examined current attributions and perceptions of childhood of 51 women identified in adulthood with ADHD symptomatology and 51 nonADHD women. Women with ADHD symptomatology had more uncontrollable, stable, and global attributions, reported more dissatisfaction in their childhood parent, peer, and teacher relationships, and felt less in control of negative childhood events as compared with the nonADHD women. Both depression and ADHD contributed significantly to these group differences, suggesting that negative perceptions and attributions are more than reflections of current thinking and mood. ADHD symptomatology also may be an important risk factor for maladaptive attributions.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".