Towards a scale and tool for the appraisal of CEAB attributes - Progress report on a field test
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
CEAB 2014 requires the appraisal of ‘attributes’. Quasi-competencies are not easy to ‘measure’. Results risk having a ‘local’ meaning with little transferability between institutions. From its interest into CDIO, and in parallel to its partaking in the DOCET project, École Polytechnique developed a 7-level scale, fieldtested by nearly 100 appraisals pre-graduation work experiences. The paper summarizes the rationale behind the 7-level scale when compared to the 5-level CDIO scale, the possible mapping onto the EQF, and reports on the appraisals of students after 16 weeks internships. Supervisors appear to use the tool as a relative Likert-type scale, and will have to undergo a learning curve. Attributes appraisal tools need to be engineered rather than to be determined by consensus.
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 | 0.001 |
| 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