Bibliographic record
Abstract
Abstract This international volume offers new perspectives on social and psychological aspects of the complex dynamic of depression. The 21 contributors from 13 countries—Australia, Canada, Finland, Germany, Haiti, India, Israel, Nepal, Poland, Portugal, Puerto Rico, Scotland, and the United States—represent contexts with very different histories, political and economic structures, and gender role disparities. Authors use Silencing the Self theory, which details the negative psychological effects when individuals silence themselves in close relationships and the importance of the social context in precipitating depression. This book breaks new ground by demonstrating that the linkage of depressive symptoms with self-silencing occurs across a range of cultures. Chapters offer evidence regarding why women’s depression is more widespread than men’s and why the treatment of depression lies in understanding that a person’s individual psychology is inextricably related to the social world and to close relationships. Several chapters describe the transformative possibilities of community-driven movements for disadvantaged women that support healing through a recovery of voice, and describe the need for systemic and structural changes to counter violations of human rights as a means of reducing women’s risk of depression. Chapters also discuss health-related aspects of self-silencing, including eating disorders, treatment for cardiovascular disease, HIV/AIDS prevention and treatment, and self-care for women in cancer treatment. Bringing the work of these researchers together in one collection furthers international dialogue about critical social factors that affect the rising rates of depression around the globe.
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 0.006 |
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; both teacher heads agree on what is shown here.
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".