Removing Educational Achievement Points From the Foundation Programme Application System: Is This the Right Decision?
Bibliographic record
Abstract
The UK Foundation Programme Office has announced that medical students graduating from 2023 onward will not receive Foundation Programme Application System points for additional degrees or journal publications. In this viewpoint paper, we acknowledge the reasons for this decision, such as socioeconomically advantaged students having greater access to these achievements and the promotion of intercalated degrees for the sake of point accumulation. Additionally, the predictive value of these achievements with regard to junior doctors' performance has been questioned when compared to that of other Foundation Programme Application System components. Conversely, we also highlight the drawbacks of the UK Foundation Programme Office's decision, since this might discourage medical students from completing additional degrees and attempting to publish their work, thereby resulting in clinicians with little to no academic experience or interest. Finally, we attempt to provide suggestions for future improvements in this system by analyzing different medical schools' approaches, such as the BMedSci Honors program offered at Nottingham University. Furthermore, promoting and supporting engagement with academia, especially among socioeconomically disadvantaged students, are the responsibility of all medical schools; such actions are needed in order to produce doctors who are both clinically and academically competent. We conclude that the aforementioned changes should only affect new cohorts in the interest of universities' transparency and fairness to their students.
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How this classification was reachedexpand
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 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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; both teacher heads agree on what is shown here.
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".