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Record W4283580439 · doi:10.1371/journal.pgph.0000153

You can’t report your feelings: The hidden labor of managing threats to safety by women in global public health fieldwork

2022· article· en· W4283580439 on OpenAlexafffundabout
Corey McAuliffe, Ross Upshur, Daniel Sellen, Erica Di Ruggiero

Bibliographic record

VenuePLOS Global Public Health · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsPublic Health OntarioUniversity of Toronto
FundersUniversity of Toronto
KeywordsFeelingPublic healthPublic relationsPsychologyBusinessPolitical scienceSocial psychologyMedicineNursing

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.056
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.861
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0560.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.004
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.231
GPT teacher head0.501
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2022
Admission routes3
Has abstractyes

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