Fatal Gunshot Wounds Between 1995 and 2001 in a Highly Populated Region in Finland
Bibliographic record
Abstract
Gunshot injuries are a major problem worldwide from the human, medical, and economic perspectives. The number and characteristics of gunshot fatalities have been observed to vary significantly between countries. This study analyzes fatal gunshot wounds in the region of Uusimaa, Southern Finland, between 1995 and 2001. Gunshot wounds were typically found in suicides committed by men aged between 20 and 60 years. In most cases, a handgun was used. Mental disorders were present in the history of almost one quarter of the victims. Alcohol was identified in postmortem toxicology in half of the cases, but drugs of abuse were relatively uncommon. The autopsy rate in Finland is among the highest of the European Union countries, and a medicolegal investigation is performed in virtually all fatal gunshot incidents. This study is therefore representative of forensic investigations of gunshot fatalities in Finland overall.
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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 | 0.002 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".