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Record W3208233481 · doi:10.17583/ijep.5521

Genetic Determinism on Teachers’ Perceptions about Etiology of Mental Disorders

2021· article· en· W3208233481 on OpenAlexaff
Mayra Antonelli-Ponti, Patrícia Ferreira Monticelli, José Aparecido Da Silva

Bibliographic record

VenueInternational Journal of Educational Psychology · 2021
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsWiLAN (Canada)
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsPerceptionPsychologyDeterminismHeredityAnguishCognitionMental healthDevelopmental psychologyCognitive psychologySocial psychologyPsychotherapistPsychiatryGeneticsEpistemology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.038
GPT teacher head0.430
Teacher spread0.391 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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