Bibliographic record
Abstract
International comparative analysis of suicide mortality Abstract The purpose of this bachelor thesis is to analyze the development of suicide mortality in international context between 2000-2015. At the beginning, the thesis resumes historical development of research into this cause of death and scientific approaches by which can be suicide examined. It then describes the main risk factors of suicide and identifies the most vulnerable groups of people. The available data are research mainly through standardized suicide mortality rates in total and in selected age groups. This thesis analyzes suicide in 47 countries (36 European, 7 Asian, 1 African and Canada, Australia and New Zealand). It has been found that eastern European countries have the highest suicide mortality rates. At the same time, these countries recorded the most significant decline in these rates between 2000-2015. In the long term, the lowest suicide rates are characterized by the countries of southern Europe. The hypothesis of male mortality excess was confirmed in all analyzed countries. This thesis also confirmed the assumption that the intensity of suicide mortality rate increases in direct proportion to age in all analyzed countries (except for Finnish, Norwegian, Canadian and Australian women). Keywords: mortality, suicidal tendency,...
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".