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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".