Domain: Higher Education SIG: Higher Education
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
With expansion at the postsecondary level due to increased numbers of students and graduate programs at small Canadian universities, there is likely to be growth in research projects conducted at those universities. Consequently, professors will also have a growing need for research assistance. Historically in Canada, the role of research assistant has been fulfilled by graduate students. However, we began to recognize that newcomers to Canada often have the skills to work as research assistants but lack opportunities to do so. The purpose of this study was to explore an existing Higher Education Research Assistant Program at a Canadian university and its potential for increasing research skills and integrating internationally trained professionals into the Canadian culture and economy. The program consisted of 25 weeks of workshops and on-the-job training. Eighteen Internationally Trained Professionals and 4 Instructors participated in the program. The data collected in this action research included semi-structured individual interviews, focus group interviews, participants ’ reflection sheets, and participants ’ assignments. This paper will address main challenges and benefits encountered by the internationally trained professionals and their instructors while in the program.
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 | 0.001 | 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 | 0.001 | 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) | 0.027 | 0.001 |
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