Underrecognition of Dysmenorrhea Is an Iatrogenic Harm
Bibliographic record
Abstract
Many patients face years of recurrent and debilitating menstrual pain that affects their ability to work and study. Patients often normalize their severe pain as an expected part of menses. Both underrecognition and lack of awareness of available therapies for this remediable condition serve as a quintessential example of hermeneutic injustice. Hermeneutic injustice describes a structural lack of access to epistemic resources, such as shared concepts and knowledge. Pervasive menstrual stigma further discourages people with dysmenorrhea from discussing their symptoms and seeking health care. A lack of respect for women's experiences of pain in clinical encounters acts to worsen these issues and should be considered a source of iatrogenic harm. Health care workers can promote hermeneutic justice by preemptively destigmatizing discussions about menstruation and validating patients' concerns. On a systemic level, there should be greater awareness of dysmenorrhea and the various treatments availabe for it.
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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 | 0.005 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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; 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".