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Record W4406844382 · doi:10.3390/genealogy9010010

“Boys and Men”: The Making of Senegambian and Congolese Masculinity and Identities in Tropical Africa: A Reflection

2025· article· en· W4406844382 on OpenAlexaboutno aff
Martha Chinouya, Sarah Lewis-Newton

Bibliographic record

VenueGenealogy · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMasculinityReflection (computer programming)Gender studiesSociologyPolitical scienceGeography

Abstract

fetched live from OpenAlex

Our paper focuses on two white pioneering scientists, Dr Dutton, who was English, and Dr Todd, a Canadian, employed by the Liverpool School of Tropical Medicine (LSTM) to study sleeping sickness in colonial Senegambia, West Africa. We analysed photographs and some published personal letters to help us reflect on some of their constructions of Senegambian and Congolese male identities in tropical colonial Africa. In this paper, we connect with the history of tropical medicine, a precursor to public health. Public health was a research area that was central to Peter Aspinall’s work as he argued for shifts from simplistic hegemonic terminologies to refer to an incredibly diverse Black African population, as failure to do so impacts on service provisions. Within the context of tropical medicine, we reflect on the paternalistic terminology and use of the word ‘boy’ to refer to their unnamed male helpers who they photographed during these expeditions. We hope that by interpreting the photographs and reflecting on the literature and letters, exercises that are influenced by our positionality, we can obtain a glimpse into the past and obtain some insights that contribute to our understanding of the production of colonial masculinities, terminology, and race. As female authors employed by LSTM, we are aware that our positionalities influence the lenses through which we view and interpret the literature and the photos. Our paper contributes towards the ongoing debates on terminology, race, and whiteness in colonial tropical medicine.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.335
Teacher spread0.296 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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