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Record W1500765995 · doi:10.3138/cbmh.30.2.47

Race, Medicine, and Colonial Rule in the Mandated Territory of New Guinea

2013· article· en· W1500765995 on OpenAlexvenueno aff
Alexander Cameron-Smith

Bibliographic record

VenueCanadian Journal of Health History · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Medicine and Tropical Health
Canadian institutionsnot available
Fundersnot available
KeywordsMandateColonialismIndigenousPublic healthRace (biology)Public administrationPolitical scienceNew guineaEconomic growthSociologyLawMedicineEthnologyGender studiesEconomicsNursingEcology

Abstract

fetched live from OpenAlex

Public health in the Mandated Territory of New Guinea shared characteristics with regimes in other colonial territories. The protection of European health and ensuring a supply of efficient indigenous labour were the principle aims of the public health regime. Measures to control infectious disease focused on racial segregation of urban spaces, surveillance, and control of indigenous mobility. Yet, if the mandate did not systemically encourage projects in preventive health and social medicine, wider public engagement with the international discourse of indigenous welfare and uplift surrounding it at times shaped colonial administration indirectly. One Director of Public Health in New Guinea, Raphael Cilento, invoked the terms of the mandate during acrimonious debates over nutrition in the 1920s that led to significant changes to rations included in the Native Labour Ordinance.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.262

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.027
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.058
GPT teacher head0.257
Teacher spread0.200 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2013
Admission routes1
Has abstractyes

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