We are sorry, but we don’t infect: A comparative study - levels of alexithymia, spontaneity and psychological well-being in subjects with and without psoriasis
Bibliographic record
Abstract
O tema central desta tese é a psoríase, uma doença crónica de pele, incurável, onde os aspectos psicológicos e sociais estão em risco. Investigamos em particular os níveis de alexitimia, espontaneidade e bem-estar psicológico em doentes de psoríase. Na componente teórica, é apresentada uma perspectiva psicossomática da doença. O objectivo deste estudo é perceber que relação existe entre a alexitimia, a espontaneidade e o bem-estar psicológico nos doentes portadores de psoríase, recorrendo aos instrumentos Toronto Alexithymia Scale-20 (TAS-20), Revised Spontaneity Assessment Inventory (SAI-R) e Escala de Bem-Estar Psicológico (EBEP). Pretende-se igualmente estabelecer comparações entre estes doentes e uma população de não portadores da doença. A amostra é constituída por 175 sujeitos, sendo que 112 são portadores de psoríase. Os resultados obtidos permitiram constatar, na amostra, a prevalência significativa de alexitimia nos doentes de psoríase, em comparação com os não doentes, e níveis de espontaneidade e bem-estar psicológico igualmente mais baixos. Obteve-se uma correlação positiva entre os valores obtidos na SAI-R e na EBEP e uma correlação negativa entre a TAS-20 e a SAI-R e entre a TAS-20 e a EBEP.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".