Rapport de stage effectué à l'Institut national des mines
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
Depuis 2018, la veille informationnelle hebdomadaire realisee par l’Institut national des mines temoigne de l’importance majeure qu’occupent les enjeux relies a la cybersecurite pour l’industrie miniere dans le contexte ou celle-ci intensifie sa transformation numerique. La numerisation accrue des outils de travail ainsi que la connectivite croissante des equipements industriels constituent autant d’elements faisant en sorte que l’acquisition de competences en cybersecurite represente un incontournable pour la main-d’œuvre evoluant dans le secteur minier du 21e siecle. Les objectifs recherches par ce rapport sont a la fois de documenter la place accordee a la cybersecurite dans les programmes de formation miniere les plus en demande au Quebec, mais egalement d’en apprendre davantage sur la perception des etablissements d’enseignement offrant ces formations a l’egard de la cybersecurite en formation miniere.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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