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Record W4243784296 · doi:10.1891/1062-8061.25.1.170

Colonial Caring: A History of Colonial and Post-Colonial Nursing

2017· article· en· W4243784296 on OpenAlexfundno aff
Helen Sweet, Sue Hawkins

Bibliographic record

VenueNursing History Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsnot available
FundersRoyal Society Te ApārangiUniversity of HullYork UniversityWellcome TrustUniversity of OxfordYale University
KeywordsColonialismHistorySociologyGender studiesArchaeology

Abstract

fetched live from OpenAlex

From the height of colonialism in the mid-nineteenth century, through to the aftermath of the Second World War, nurses have been at the heart of colonial projects. They were ideally placed to insinuate the ‘improving’ culture of their employers into the local communities they served, and travelled in droves to far-flung parts of the globe to serve their country. \n\nIssues of gender, class and race permeate this book, as the complex relationships between nurses, their medical colleagues, governments and the populations they nursed are examined in detail, using case studies which draw on exciting new sources. Many of the chapters are based on first-hand accounts of nurses and reveal that not all were motivated by patriotic vigour or altruism, but went out in search of adventure. The book will be an essential read for colonial historians, as well as historians of gender and ethnicity.

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)0.003
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: none
Teacher disagreement score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0080.010
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.046
GPT teacher head0.326
Teacher spread0.280 · 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

Citations33
Published2017
Admission routes1
Has abstractyes

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