Bases of competence: an instrument for self and institutional assessment
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
The Bases of Competence model provides a general framework for learner‐centred skill development and programme‐focused outcomes assessment. Based on previous research, the Bases of Competence model describes 17 skills and four base competencies important to graduates to achieve high performance in the workplace. Taking this work from research to relevant educational application as a tool for student self‐assessment and institutional outcomes assessment is the focus of this paper. Results from a multi‐year, multi‐course assessment initiative indicate that students rate themselves stronger in the foundation base competencies of Communicating and Managing Self, and weaker in more complex competencies of Managing People and Tasks and Mobilising Innovation and Change. Comparisons of skill confidence within each base competence as well as between year, student level, gender and beginning versus end of semester are presented as well. These results are discussed and suggestions made for programme design.
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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 | 0.003 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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