You can’t report your feelings: The hidden labor of managing threats to safety by women in global public health fieldwork
Bibliographic record
Abstract
Increasing job market demand for and availability of Canadian and U.S. global academic health programs in post-secondary education increases student demand to participate in internationally based fieldwork, while supportive resources remain weakly developed. Previous studies indicate provisions to protect the health, safety, and well-being of women students remain inadequately addressed during training, while more research to identify needs, expectations, gaps, and best practices would inform policy and practice to improve conditions for women working off-campus on global public health studies. One approach, reported here, is to document and better understand the lived experience of U.S. or Canadian women graduate students participating in global public health fieldwork. Participant in-depth phenomenological interviews and guided writing exercises aimed to capture lived experience descriptions for 25 women. A phenomenology of practice was applied throughout the research process, following Max van Manen's qualitative methodology approach. Loss of environmental familiarity, combined with graduate students' lack of power, created considerable hidden labor described by women in working to keep themselves safe from sexual and gender-based violence (SGBV) while participating in global public health fieldwork. Women shared specific experiences exemplifying how this can be both alleviated and/or intensified through a range of negotiated strategies, coping styles, and management techniques. Additionally, women recalled laboring as students to avoid or reduce instances of SGBV, that then, precluded them from having any material "of substance" to report once returned home. These findings offer new meaning structures, language for a foreign experience, or ways to describe, conceive of, and respond to global public health fieldwork that hold the potential to positively affect individuals' experiences, institutional understanding, and thus practice, of future women students in global public health.
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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 | 0.013 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.027 | 0.038 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".