Maintaining competence: a holistic view of continuous professional development
Bibliographic record
Abstract
Abstract Continuous professional development (CPD) is regarded as an essential component of working life for radiation therapists and is increasingly being used by professional associations to ’prove’ the competence of their members. In the past, CPD activities have primarily been viewed as an individual responsibility, and have focused on maintaining a professional knowledge base and, subsequently, hands-on competency through didactic learning. However, there are drawbacks associated with this model; and concentrating on only one facet of learning ignores other theoretical areas of knowledge acquisition. This article explores several areas of social and organisational theories of learning including social networks, communities of practice, learning organisations, knowledge management, knowledge translation and research utilisation. It is concluded that maintenance of competence after graduation is multilayered and should be viewed in a holistic manner to incorporate some of the relevant elements of the concepts discussed. This article also offers some suggestions for the individual wanting to maximise their educational opportunities beyond traditional models of CPD.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.018 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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 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".