Careers in optics project: building around existing resources
Bibliographic record
Abstract
Many resources are available for groups that are interested in doing outreach activities with high school students. Most of these resources are dedicated to the experimentation of optical phenomena but do not include information about careers in optics and photonics. Created in 2010 for the Canadian Institute for Photonic Innovations (CIPI), the Canadian Photonic Kit was distributed throughout Canada. Using this kit as a starting point, Université Laval’s OSA and SPIE student chapters, helped by the CIPI-Student network, will create a multi-platform resource addressing three subjects: (1) optical phenomena, (2) research in optics and photonics, and (3) related careers. This paper presents a timeline of the project and its main parts: the Canadian Photonic Kit and an expansion pack related to careers, a demonstration laboratory located within a research center and its virtual tour, and printable material for teachers and guidance counselors.
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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 | 0.009 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.005 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.061 | 0.021 |
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".