Autisme spectrum stoornis bij volwassen vrouwen als moderator in de relatie tussen alexithymie en arousal
Bibliographic record
Abstract
The relationship between alexithymia and arousal and the effect of Autism Spectrum Disorder (ASD) on this relationship is examined in this research. In other research a relationship has been established between ASD or alexithymia and high arousal. A prolonged increased arousal increases risk of psychosomatic problems. Therefore, research on arousal in ASD and alexithymia is relevant. In addition, studies on ASD have usually included men only, although there is evidence that women have other features of ASD. It is important to investigate this potential gender difference in the relation between ASD and arousal. In this study participated only women, 30 with ASD and 30 without ASD. Arousal was recorded by the average heartbeat per minute in two conditions: at rest and during stress. In the stress conditions participants looked at tree clips of social situations that evoke different emotions. In the resting condition participants watched a soothing movie clip. Alexithymia is measured by the BVAQ. Findings revealed that there were no significant differences in the arousal at rest or in stress between females with alexithymia or ASD and females without alexithymia or ASD. There were no significant relations between the two dimensions of alexithymia and arousal. Furthermore, ASD was not a moderator in the relation between alexithymia and arousal in either condition. As such the current research suggests that there is no higher risk of psychosomatic problems due to prolonged elevated arousal in people with ASD or alexithymia or a combination of both.
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".