Academic professional development: Benefits of a pracademic experience
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
Multiple benefits may be gained from academic staff undertaking pracademic experiences as part of their continuing professional development. A pracademic experience may increase collaborations between practitioners, academics and their tertiary institutions in terms of research and teaching. Academics can demonstrate the relevance, significance, and impact of their empirical research which then can support the practitioner’s narrative to stakeholders. Teaching practices may improve as critical curriculum gaps are identified and the curriculum aligned with current professional practice.\n\nThis paper promotes the proposition that a pracademic experience may also assist an academic to model, scaffold and coach employability skills to students. To provide evidence of the potential benefits from these collaborations, a case study, based upon the author-academic's experiences transitioning into the role of an insolvency file accountant, is included within the paper. The various benefits derived by the academic, the host practitioner, and the academic’s home university from engaging in the pracademic experience are discussed.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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