Transformative learning for university level students and advisors: a self study
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
Professional practice evolves as individuals reflect and theorise about their experiences, and consider their practice in new ways. The purpose of this paper is to demonstrate how self-study can be used as an approach to interrogate the professional practice of a university advisor as they coach undergraduate students to develop meaningful resumes and job applications. Not only are the artefacts reconsidered but there is also a concurrent shift in identity and vocational persona. This paper uses the qualitative method of self-study where a practitioner provides vignettes and reflective writing to describe moments of transformative learning. These two sources of data were then evaluated using LaBoskey’s five characteristics of self-study. This research highlights how self-study supports a praxis and change in professional practice. The university advisor and undergraduate students when given the opportunity to consider their practices by looking to their motivations and assumptions it is possible to precipitate transformative learning. Self-study is an approach to an epistemology of practice that is rarely used outside the education field. However, it is an approach that has significant potential for investigating the practices in arrange of professional contexts where a praxial interrogation of the work is valued.
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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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