Bibliographic record
Abstract
The INRS, national institute of research and security, established in 1947, has the task of preventing workplace accidents and occupational diseases in France. It gathers 600 permanent workers, with 80 million euros as an annual budget. Its operating modes are: Studies and researches Support for companies Training Information and communication At an international level, the INRS participates in ISSA works, mainly with the research and chemistry committee, the ILO and the WHO. It plays a part in CIST/ICOH works. It also elaborates cooperation projects with organisations such as the NIOSH (USA), IRSST (Quebec), IFA (Germany), KOSHA (South Korea), and IST (Switzerland). The INRS is a part of the PEROSH network that includes major research organisations in the field of occupational health in Europe. The INRS is also a part of the EUROSHNET network, which is a network of European normalizers. About the francophone cooperation, the INRS established many cooperation projects like with the ISST (Tunisia), faculty of medicine of Casablanca, Mediterranean and Tunisian society of occupational medicine.
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.
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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.380 | 0.207 |
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".