Applied Technosphere Riskology as Direction of Future Life Security Experts Vocational Training
Bibliographic record
Abstract
© 2015, Canadian Center of Science and Education. Theoretical and practice-oriented bases of applied technosphere riskology as a new interdisciplinary direction of students training at technical educational institutions are revealed in the article. Specialized technology of the risk management, urged to solve problems of technosphere safety taken as a whole, but not separate parts is the main research of the article. "The applied technosphere riskology" is logical development of rather new scientific and subject matter – riskology – as for life security of a person is concerned. The authors have considered interdisciplinary integration in the content formation of vocational training of future life security experts in the field of applied technosphere riskology, and also practice-oriented aspects of a graphic-analytical method "treelike structures" and a method of the diversionary analysis, directed at risk thinking formation, at professional reflection and culture of students life security as they are future life security experts. The article will be useful for technical college teachers, the theorists and practitioners who are studying questions of the analysis, forecasting and risk management in technosphere.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".