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Record W2756255076 · doi:10.1080/00223344.2017.1371274

The ‘Sleepiness’ of George Sarawia: The Impact of Disease on the Melanesian Mission at Mota, c. 1870–1900

2017· article· en· W2756255076 on OpenAlexaff
Jane Samson

Bibliographic record

VenueJournal of Pacific History · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGeorge (robot)IndigenousEthnologyEnvironmental ethicsHistoryEconomic shortagePolitical scienceLawSociologyAncient historyArt historyEcologyPhilosophyGovernment (linguistics)Biology

Abstract

fetched live from OpenAlex

George Sarawia, ordained in 1873 as the Melanesian Mission’s first Indigenous priest, was a pioneering figure in the mission’s plans for an Indigenous-led Anglican Church in the region. Sarawia founded Kohimarama, a mission station on Mota in the Banks Islands, Vanuatu, where he taught Mota Islanders and hosted visiting teachers and clergy. By the 1890s, some of the European missionaries had become critical of Sarawia and his flock on Mota, underlining their ‘natural, sleepy condition’ and recommending more intensive European supervision. This article will explore the role of epidemic and endemic disease, as well as the shortage of water on Mota, in creating substantial challenges for Sarawia and his mission. As he grew more incapacitated in later life, these challenges were insufficiently acknowledged by Sarawia’s critics.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score0.468

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.005
Scholarly communication0.0020.001
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 head0.032
GPT teacher head0.301
Teacher spread0.269 · 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 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
Published2017
Admission routes1
Has abstractyes

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