Quand la saison devient synonyme de dépression
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
Although becoming more and more recognized among physicians and psychiatrists the etiology of seasonal affective disorder (SAD) remains unclear. Indeed, the only incontestable fact is the close link between the decrease in sunlight occurring during fall and winter and the onset of depressive symptoms. But why does this seasonal decrease in the amount of light trigger a depression in some individuals while not affecting others? Why and how has sun exposure such an impact on brain-mood regulation? This review intends to shed some light on the main neurochemical hypotheses that have been advanced for the past 25 years. While several hypotheses have been advanced to explain SAD, the present review will focus on three major suspects which are: (1) melatonin due to its crucial role in circadian rhythms (2) serotonin which has been linked with depressive disorders in general and atypical symptoms and (3) catecholamine because as for serotonin, many data reported an implication of these neurotransmitter family in depressive disorders. However, similarly to other reviews about SAD, we conclude that none of those could explain the pathophysiology of this northern disease on its own.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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