Seasonal affective disorder in an Arctic community
Bibliographic record
Abstract
OBJECTIVE: To determine the rate of seasonal-pattern depression in an Inuit community above 70 degrees N. METHOD: One-hundred and eleven people from randomly selected households were surveyed for depression and anxiety and the effect of the seasons on their mood. Eighty-eight people provided replies on the influence of the seasons. RESULTS: One in five (22.6%) of the community sample was found to be depressed. Of these, seven (6.3%) had seasonal affective disorder (SAD), with fall onset occurring in six of these (5.4%). Subsyndromal SAD (SSAD) occurred in 11.7%, while any effect of the seasons (seasonality) occurred in 39.6%. Persons with SSAD and seasonality were significantly older than those unaffected by the seasonal effect. No other significant correlation of SAD, SSAD, or seasonality occurred with gender, age, and language preference. CONCLUSION: Seasonal mood changes in this Inuit group living in the Canadian Arctic are elevated above the rates found in other studies using similar survey methods.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".