Learning in two communities: the challenge for universities and workplaces
Bibliographic record
Abstract
This article reports on a longitudinal study of school‐to‐work transitions in four professions: education, social work, physiotherapy, and occupational therapy. Each of these professions is characterized by the need for an undergraduate degree for certification; extensive, supervised internships before graduation; and, to a greater or lesser extent, supervision for beginning professionals after graduation. Students in their last years of university, beginning professionals in their first years of practice, and the experienced practitioners who supervise both these groups were interviewed. The article draws on theory and data to help explain why the move from classroom to workplace is often so difficult, and make recommendations to stakeholders in the training and induction of new practitioners in these professions. The recommendations may be extrapolated to other workplaces.
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 | 0.022 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.049 | 0.036 |
| Scholarly communication | 0.030 | 0.032 |
| Open science | 0.005 | 0.045 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".