Student-Centered Learning and Agency in Unprecedented Times
Bibliographic record
Abstract
We were invited during May 2021 to join a small and focussed group of researchers working in the student-centered learning (SCL) space. The aim of our agreement was to open up opportunities for collaborative studies for students and staff. The idea was, at the time, that people would have the opportunity to visit physically and interact with like- minded learners and professional staff around matters of mutual interest in the practice-based and work-based education environment. During the COVID pandemic, other ways had to be found to work around the restrictions on travel and interaction. The invitation for collaboration involved three separate institutions from three countries and the call was to initiate our research based on the question: How can we move toward a joint research agenda for delivering professional practice programmes on the basis of the SCLT- review that makes sense both from a comparative perspective and from three, individual, institutional viewpoints? This is our story.
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 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 | 0.025 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.023 | 0.047 |
| Scholarly communication | 0.031 | 0.022 |
| Open science | 0.002 | 0.025 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".