Interdependence and Depression: Does an Interdependent Culture Provide Effective Buffer Against Depression?
Bibliographic record
Abstract
This literature review examines the cultural factor which potentially contributes to the difference between high rates of depression in Western nations and significantly lower rates in the East. Somatisation of depressive symptoms by the Chinese is addressed and attempted to be explained from the perspective of emotion as a relational component of self as opposed to residing discretely within a person. The possibility of an interdependent cultural environment which provides a buffer against the higher risk of depression amongst Asians as observed from their greater frequency of serotonin transporter polymorphism genotype may explain the low prevalence of depression in East-Asian countries. The lower risk-taking tendency of East Asians, promoted by interdependent cultural philosophy and mediated by increased amygdala reactivity, may serve as an additional means to counter greater genetic susceptibility to clinical depression. Upon analysing the trend in the United States shortly after World War II, it is possible to link together the concurrent increase in individualism and rates of depression in the country. Social factors appeared to have affected the surging rates amongst high-risk groups of women and the young population. The rate of depression in more interdependent rural areas was lower than urban regions of the United States, with a similar difference observed between rural and urban Canada. The lower rate in rural settings was related to its residents’ stronger sense of community belonging. Overall, research findings give further weight to the relationship between the interdependence of a culture and the depression rates of its people.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".