Caffeine Use and Alexithymia in University Students
Classification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Alexithymia refers to difficulties with identifying, describing, and regulating one's own emotions. This trait dimension has been linked to risky or harmful use of alcohol and illicit drugs; however, the most widely used psychoactive drug in the world, caffeine, has not been examined previously in relation to alexithymia. The present study assessed 106 male and female university students aged 18-30 years on their caffeine use in relation to several traits, including alexithymia. The 18 participants defined as alexithymic based on their Toronto Alexithymia Scale (TAS-20) scores reported consuming nearly twice as much caffeine per day as did non-alexithymic or borderline alexithymic participants. They also scored significantly higher than controls on indices of frontal lobe dysfunction as well as anxiety symptoms and sensitivity to punishment. In a hierarchical linear regression model, sensitivity to punishment negatively predicted daily caffeine intake, suggesting caffeine avoidance by trait-anxious individuals. Surprisingly, however, TAS-20 alexithymia scores positively predicted caffeine consumption. Possible reasons for the positive relationship between caffeine use and alexithymia are discussed, concluding that this outcome is tentatively consistent with the hypo-arousal model of alexithymia.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it