Public Perceptions of the Podiatrist and the DPM Degree
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to ascertain public perception of the terms podiatry and DPM. METHODS: We distributed a survey to 847 people in ten states across the United States. It was hypothesized that most respondents would be less familiar with the DPM degree than the term podiatrist. It was also expected that people would choose MD over DPM for more complex procedures. RESULTS: The majority of respondents selected a podiatrist and a DPM as a foot specialist, almost one-half selected DPM for foot surgery, but only one-third stated they would have foot surgery done by a DPM if they had a heart problem. In addition, it was hypothesized that respondents would choose the contrived PMD over DPM simply because PMD looks more like MD; this was not shown to be true. CONCLUSIONS: Although there are gaps in the public knowledge, our study revealed a greater familiarity with podiatry and the DPM degree than originally thought.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".