Public perceptions on pathology: a fundamental change is required
Bibliographic record
Abstract
Pathology has been mostly invisible for the public. The missing recognition affects the pathologists' reputation, and efforts with recruitment and advocacy. Our survey with 387 respondents confirms that the public knowledge on the role of the pathologists has not improved despite campaigns and advocacy efforts. Pathology was identified as a medical specialty by 79.1% of the respondents. Only 34.8% assumed that it takes more than 8 years of post-high school training to become a pathologist. Most commonly, another medical specialist was identified as the ultimate diagnostician on Pap tests (gynaecologist), breast biopsies or malignant surgical excisions (oncologist), gastrointestinal biopsies (gastroenterologist) or prostate biopsies (urologist). The experience gained by undergoing these procedures had minimal impact on understanding the pathologists' role, since they were identified as ultimate diagnosis makers by the minority of these patients (13.8%-36.4%). The integration of pathologist-interactions into patient care may be a potential solution with benefits beyond improved perceptions.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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".