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Record W2948028735 · doi:10.1353/his.2019.0004

Public Health at the Zimbabwean Border: Medicalizing Migrants and Contesting Colonial Institutions, 1890-1960

2019· article· en· W2948028735 on OpenAlexvenueno aff
Francis Dube

Bibliographic record

VenueHistoire sociale · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican studies and sociopolitical issues
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismMedicalizationPublic healthPolitical sciencePlague (disease)Economic growthGender studiesSociologyMedicineLaw

Abstract

fetched live from OpenAlex

As colonial powers in Africa consolidated their authority, borders became significant areas of focus for nascent colonial administrations. Border monitoring and regulation sought to control the cross-border movements of people, animals, and goods for varied reasons, including public health. In Zimbabwe, colonial public health measures at the border comprised the "medicalization" of African migrants, perceived by colonial authorities as diseased. These measures involved medical inspections or examinations, diagnosis, treatment, vaccinations or immunizations, and detention and quarantine, relating to diseases such as malaria, sleeping sickness, plague, tuberculosis, smallpox, and syphilis. Yet, while colonial authorities in Zimbabwe advanced these explanations for regulating borders, some African migrants crossing the Zimbabwean border from neighboring countries often had their own understandings of the medical encounter and imperial boundaries. They questioned colonial governments' motives, contesting both public health measures and the border itself, both of which they considered oppressive and discriminatory.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.990
Threshold uncertainty score0.285

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.014
Scholarly communication0.0040.003
Open science0.0000.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.076
GPT teacher head0.348
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
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

Citations0
Published2019
Admission routes1
Has abstractyes

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