The STRESS-EU database: A European resource of human acute stress studies for the worldwide research community
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
Our current understanding of the human stress response and its role in health, resilience, and (psycho)pathology stems largely from acute stress studies in controlled laboratory settings. Comparability of findings across these individual studies is comprised, as sample size are often small, between-individual variation in the stress response is large and variation in stress-induction procedures and measurement timing is substantial. To overcome this, 16 research groups across Europe have established the STRESS-EU database. A unique resource with individual participant data (n = 6576) of acute stress studies to promote data reuse and facilitate both meta-analytical and proof-of-principle analyses with high statistical power, that can be hypothesis- or data-driven. This short communication highlights the structure, content, access and contribution procedures and future plans of the STRESS-EU database and invited researchers worldwide to contribute to this data resource.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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