A professional doctoral degree that does not require dissertation research is an appropriate alternative to a Ph.D. as preparation for a career in medical physics
Bibliographic record
Abstract
A hot topic among medical physicists in the United States these days, especially for those involved in the education and training of medical physicists, is the proposed new Doctorate in Medical Physics ͑DMP͒ degree.Unlike the traditional Ph.D., with its considerable research component, this new doctorate degree would replace most of, if not all, the research requirement with a 2-year period of clinical training ͑although guidelines on the requirements for this degree have not yet been established and, presumably, this is one of the tasks of the new Professional Doctorate in Medical Physics Working Group that has been formed by the AAPM Education and Training Committee͒.The premise that this new doctorate degree is an appropriate alternative to a Ph.D. is the proposition debated in this month's Point/Counterpoint.
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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 | 0.017 | 0.068 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.009 | 0.013 |
| Insufficient payload (model declined to judge) | 0.128 | 0.171 |
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".