Bibliographic record
Abstract
The University of Toronto has over 230 class 3B and class 4 lasers and laser systems. A few hundred users work with open beam on a daily basis. Due to the large turnover at the university, we have to train every year more than 100 new users. The new user training has two parts. The first part consists of six hours in class including presentations, discussions and calculations followed by a short video and a test. The second part is a follow-up in the laser laboratory. During the follow-up, we discuss the results of the test to ensure 100% understanding of the test questions, laser experiment setting; calculation for OD required for their lasers, engineering, administrative and procedural controls that need to be put in place. An important part of the laser safety training is to teach students to write the standard operating procedure for their experiment. This SOP is verified by the LSO and approved by the principal investigator. Starting with 2008, an on-line refresher course was introduced for users who were trained more than three years ago. In this paper, the content of training is presented, together with methods used during the training.
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 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".