O efeito do intervalo interestímulos no reconhecimento de faces neutras em indivíduos com alexitimia
Bibliographic record
Abstract
O estudo apresentado relacionou o reconhecimento de faces, que permite distinguir conhecidos e desconhecidos e aceder a informações sobre rostos familiares, o qual é imprescindível no quotidiano, e alexitimia, que se carateriza pela dificuldade do indivíduo em descrever as emoções em si próprio ou nos outros. Ainda que diversos estudos se tenham debruçado sobre o estudo da alexitimia, são poucos os que se relacionam com o reconhecimento de faces neutras. Para o protocolo de investigação deste projeto foram aplicadas as escalas Toronto Alexithymia Scale 20-item e a The Glasgow Face Matching Test modificada, a uma amostra de conveniência de 75 alunos do Ensino Secundário, com idades compreendidas entre 15 e os 20 anos, com 61.3% do género feminino. Este projeto focou-se na manipulação do intervalo de tempo interestímulos, de modo a reduzir as expetativas dos sujeitos. Os resultados mostraram que quando maior o intervalo de tempo entre os estímulos, maior o tempo de resposta; contudo não se tiram conclusões relativamente à taxa de acerto.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".