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Record W4231842501 · doi:10.7765/9781526158659.00023

Index

2021· paratext· en· W4231842501 on OpenAlexaff
Elizabeth McKellar

Bibliographic record

VenueManchester University Press eBooks · 2021
Typeparatext
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsKensington Health
Fundersnot available
KeywordsColonialismTanzaniaIndex (typography)Government (linguistics)Diversity (politics)HistoryReading (process)Political scienceGeographyPublic administrationSocial scienceEthnologySociologyLaw

Abstract

fetched live from OpenAlex

A collection of essays about the Colonial Medical Service of Africa in which a group of distinguished colonial historians illustrate the diversity and active collaborations to be found in the untidy reality of government medical provision. The authors present important case studies in a series of essays covering former British colonial dependencies in Africa, including Kenya, Malawi, Nigeria, Tanzania, Uganda, and Zanzibar. These studies reveal many new insights into the enactments of colonial policy and the ways in which colonial doctors negotiated the day-to-day reality during the height of Imperial rule in Africa. The book provides essential reading for scholars and students of colonial history, medical history and colonial administration.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.059
Threshold uncertainty score0.953

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.244
Teacher spread0.212 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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