Temporal dimension in recognition of prior learning (RPL) in vocational education and training from a social justice perspective
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
An international movement is underway to promote the recognition of prior learning (RPL) as a means of social justice, especially for disadvantaged populations. This article examines the duration of the RPL pathway towards the upper secondary VET diploma from a social justice perspective. Grounded in the Sen’s capability approach (CA) and using survival analysis with administrative data, the results show that, under certain conditions, the RPL helps promote access to an upper secondary vocational education and training (VET) diploma, especially for experienced workers without a diploma. Indeed, some personal (e.g. immigration status) and social conversion factors (e.g. involvement of employers in the RPL pathway) are associated with the time until graduation through RPL. The discussion highlights the relevance of using survival analysis when examining the association between conversion factors and the RPL pathway. The conclusion sheds light on the relevance of incorporating a temporal dimension when analysing pathway in RPL and under CA framework.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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