Demystifying the scaffolding required for first-year physics student retention: contextualizing content and nurturing physics identity<sup>,</sup>
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
Graduates of physics degree programs are a critical element in the development of a scientifically literate, economically competitive society as discussed by the National Research Council in 2013 (Adapting to a changing world: Challenges and opportunities in undergraduate physics education. National Academies Press, Washington, D.C. 2013). This qualitative case study invited students at a university in Atlantic Canada to participate in a post-course survey to investigate what influenced them to major or to not major in physics. Sixty students participated in the survey portion of the study, of a possible 121, and the survey data was cross-referenced with data from two student interviews, one professor interview, and one laboratory technician interview. Results indicated that student participants were more likely to choose a physics degree program if they felt that they had enough interest in the subject matter, they had experienced good teaching, and they could see how to apply the degree to a career. In addition, a newly implemented, research-based laboratory curriculum proved beneficial, especially for female students. Fifteen percent of participating students continued into a physics major, which is more than the average of under 10% reported by Nicholson and Mulvey in 2016 (Roster of physics departments with enrollment and degree data, 2013. Focus on: American Institute of Physics. 2016. Available from https://www.aip.org/sites/default/files/statistics/rosters/physrost15.1.pdf ). This study provides a Canadian perspective on the choice to major in physics or not, which had been missing from the literature. Findings from this case could be infused into other first-year physics courses to boost student retention rates.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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