Perception and attitude to epilepsy among teachers in primary, secondary and tertiary educational institutions in middle belt Nigeria
Bibliographic record
Abstract
Compared with the disability associated with repeated seizures or side-effects of antiepileptic medications, the social stigma associated with epilepsy is often a major handicap to people living with this condition. This study therefore looked at the knowledge, attitude and perception of teachers who see a lot of epileptics, relates on daily bases and have a high influence on students with epilepsy.Self-administered questionnaires were used to obtain information from 460 randomly selected teachers in primary, secondary and tertiary educational institutions in Kwara State-middle belt of Nigeria. The response rate was 75%. Almost all of the teachers had heard about epilepsy, but their awareness does not equate with the acceptance and understanding of epilepsy. About 30.5% believed that it could be contracted through the saliva of an epileptic, 27.7% thought it was synonymous with possession with evil spirit, while 10% misunderstood epilepsy for insanity. Close to one-fifth of the teachers were of the opinion that epileptic students have a below average mental capacity compared with other students and so cannot attainment the highest possible education. Negative attitude and bias towards epilepsy is still deeply ingrained among teachers in Nigeria. Apart from formal education, teachers need to have health education courses on common disease conditions such as epilepsy that are prevalent in school age. This might help to reduce prejudice and increase the acceptance of epileptic individuals into the classroom.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".