Students’ reflections on the impact of paid summer photonics research internships
Bibliographic record
Abstract
Getting young and talented minds to pursue photonics as a career is a major goal for the optics and photonics community. We have previously reported on a college-university collaboration allowing pre-university science students to engage in university photonics research through paid summer internships. From the university’s perspective, this collaboration allows for photonics outreach to students before they choose university programs. From the student’s perspective, they are immersed in a scientific research experience for the first time, and they then present their experience in class to the following cohort of college students – this is outreach too. We have surveyed all students who have participated in these paid summer research internships during the first ten years of this collaboration. We report on 1) the survey results to questions pertaining to their learning experience, the training and learning environment, and aspirational elements, and 2) their reflections on the strengths and weaknesses of these internships, such that we can improve the “student experience” for future internships.
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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".