The evaluation model of construction companies’ personnel safety and health system
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
Summary When the economy in the country grows up and strengthens (currently the growth rates of the economy are the highest among three Baltic States), at the same time one of the most important business areas intensively develops. Sometimes it is called as the indicator of the country's economical situation ‐ construction. The facts given by the Statistics Department suggest that BVP in the second quarter of 2003 grew 9,1%, while erection working coverage in construction ‐ about 13,8 %. And if we evaluate the economic inertia influence on the construction business and the bias of accounting (not evaluated yet) ‐ we can expect even greater growth of the real coverage [1], which (the growth) as predicted will last for several years. When analyzing accidents according to harmful factors at work, we can see that a quarter of them happens when a man falls down from altitude, the sixth ‐ when he falls down due to slip, the tenth ‐ because of the active gear, mechanism, etc. Facts are shown about the accidents ...
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 | 0.000 |
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 it