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
BACKGROUND: Altered immune responses are seen in depression, and recent data suggest that similar changes could also be observable in alexithymia. We examined whether the inflammatory markers high-sensitivity C-reactive protein (hs-CRP) and interleukin (IL)-6 are independently related to alexithymia or its factors in a population-based sample. METHODS: This study formed a clinical part of the Kuopio Depression (KUDEP) general population study focusing on the mental health of a general population of adults aged 25-64 years (n = 308). Alexithymia was measured using the Toronto Alexithymia Scale (TAS-20), and depressive symptoms were assessed using the Beck Depression Inventory (BDI-21). RESULTS: The levels of IL-6 (in picograms per milliliter) and hs-CRP (in milligrams per liter) were significantly higher in alexithymic than in nonalexithymic subjects (IL-6 effect size, ES: 0.50; hs-CRP ES: 0.27). The BDI scores, hs-CRP and IL-6 explained 33.5% of the variation in TAS scores in the whole study population. According to logistic regression analysis, hs-CRP but not IL-6 increased the likelihood of belonging to the alexithymic group. This observation remained unaltered after additional adjustments for chronic inflammation-related disorders, the use of inflammation-modulating medications and depressive symptoms. CONCLUSIONS: Our findings suggest that the association between hs-CRP and alexithymia resembles that observed in depressed patients. It is, however, independent of depressive symptoms. These findings widen our view on the stress-alexithymia concept.
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.
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