A Socioeconomic Perspective on Suicide Cases: Studies on a Group of Middle-Income Countries
Bibliographic record
Abstract
Suicide is a phenomenon that poses a danger to all parts of society. It is highly likely that there is a strong correlation between socioeconomic indices and suicide rates. The study's goal is to research the relationship between suicide and socioeconomic indicators. In the study, suicide frequency for the period 1990-2017 (per 100 thousand people), per capita income, mean schooling, unemployment rate, and the share of cancer cases in the population variables of the BRICS and MIST country group members analyzed using the Panel ARDL method. According to results, suicide is negatively associated with per capita income and mean schooling. The relationship between the share of cancer cases in the population and suicide is positive. No significant relationship found between the unemployment rate and suicide. Due to certain limitations of the study and the multifaceted determinants of suicide, more studies are needed on the subject. In middle-income countries, increasing wealth and improving educational opportunities play a role in reducing suicide.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".