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Record W2564720774 · doi:10.9745/ghsp-d-16-00282

Zika Travel Policies May Reduce Women's Leadership in Global Health

2016· letter· en· W2564720774 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGlobal Health Science and Practice · 2016
Typeletter
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsMcMaster University
Fundersnot available
KeywordsZika virusPolitical sciencePsychologyPublic relationsMedicineBusinessVirology

Abstract

fetched live from OpenAlex

Organization (WHO) declared Zika a "Public Health Emergency of International Concern," based on growing evidence that women who have the Zika virus during pregnancy are at increased risk of having their children born with microcephaly. 1 On November 20, 2016, while this letter was in press, WHO declared that Zika was no longer a Public Health Emergency of International Concern because the link between Zika and microcephaly has been found to be robust and in need of a longer-term global strategy. To stem the spread of Zika, travel-related policies have been issued by federal public health agencies and are still in place, advising in particular pregnant women or women trying to become pregnant not to travel to areas with ongoing Zika virus outbreaks. 4 These policies may have the unintended result of decreasing women's input on the planning, implementation, and evaluation of global health projects. This is important to the field as a whole, because gender-balanced teams are crucial for implementing effective global health programs and projects. As a woman global health scholar and practitioner, I reflect on potential negative impacts of these Zika travel policies and recommend actions.

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.

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)0.012
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.134
GPT teacher head0.438
Teacher spread0.304 · 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