Deaths by Suicide in Ecuador: A Quantitative Data Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>The aim of the present study was to investigate the profile of Ecuadorians who died by suicide during 2011. The National Mortality Study of 2011 was used in order to investigate the variables: sex, age, marital status, area of residence, natural region, level of instruction, ethnic self-identification, pregnancy and types of suicide. A descriptive analysis, a multiple correspondence analysis and a hierarchical classification were realized. The analysis showed that the majority of the Ecuadorians who died by suicide were men, singles and married, they were living in urban areas, in the mountain range and coast region, they had attended Primary or Secondary education and died by hanging, strangulation and suffocation or by exposure to pesticides, other chemicals and noxious substances.</p>
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it