Genetic Determinism on Teachers’ Perceptions about Etiology of Mental Disorders
Bibliographic record
Abstract
Mental disorders are disorders of the cognitive, emotional or behavioral condition of an individual. They can have several origins and are usually associated with expressive anguish and difficulty in various aspects of life, including school education. Mental disorders are accompanied by social stigmas which may be linked to the belief in genetic determinism, i.e., in the perception that mental disorders are unchanging. The objective of the present study was to understand the perception of Brazilian teachers of all levels about the etiology of mental disorders. The results showed that most of the teachers studied believe in the predominance or exclusivity of genes in mental disorders, and do not consider the environment as a potential influencer of their occurrence or mitigation. This perception approaches the belief in genetic determinism and can justify the labeling of students with mental disorders and the consequent perpetuation of social stigmas. It is therefore recommended to promote knowledge in this area, including knowledge of the dynamics of interaction between genes and the environment, helping educators to prepare and to be able to act according to the reality of each student without creating inappropriate stereotypes.
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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 | 0.003 | 0.011 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".