Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Epilepsy directly affects 50 million people worldwide. Most can achieve excellent seizure control; however, people living with epilepsy continue to suffer from enacted or perceived stigma that is based on myths, misconceptions and misunderstandings that have persisted for thousands of years. This paper reviews the frequency and nature of stigma toward epilepsy. Significant negative attitudes prevail in the adolescent and adult public worldwide leading to loneliness and social avoidance both in school and in the workplace. People with epilepsy are often wrongly viewed as having mental health and antisocial issues and as being potentially violent toward others. Twenty-five percent of adults having epilepsy describe social stigma as a result of their epilepsy. They fear rejection and often feel shame or loneliness from this diagnosis. The psychosocial and social impact of epilepsy is significant. Yet few specific interventions have been demonstrated to alter this perception. The effect on public education is primarily short-term, while change over the long-term in attitudes and inaccurate beliefs have not presently been proven effective. School education programming demonstrates improved knowledge and attitude a month after a classroom intervention, but persisting change over a longer period of time has not been evaluated. In-depth adult psycho-educational programs for adults with epilepsy improves knowledge, coping skills and level of felt stigma. However these gains have not demonstrated persistence over time. Myths, misconceptions and misunderstandings about epilepsy continue and programs aimed at increasing knowledge and reducing negative public attitudes should be enhanced.
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.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it