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Record W6963988019 · doi:10.25549/impa-c123-79536

Martyrs’ Memorial Church, Erromango, ca.1890

2014· dataset· en· W6963988019 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Southern California Digital Library · 2014
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)ObituaryPortraitGeologistFront (military)Doors

Abstract

fetched live from OpenAlex

“Eromanga [Erromango] - Martyrs’ Memorial Church to John Williams and Harris, Mr. and Mrs. G. Gordon and J. D. Gordon." Portrait of an unknown group of New Hebrideans [Vanuatuans] in front of the two-storey wooden church at Dillon’s Bay. The building has pointed arch windows and doors and decorative eaves. John Williams (1796-1839) was commissioned by the London Missionary Society in 1816, and active in the South Pacific. In 1839, while visiting a part of the New Hebrides where he was unknown, Williams and his fellow missionary James Harris were killed on the island of Eromanga during an attempt to bring them the Gospel. George N. Gordon (1822-1861) was a Presbyterian Canadian missionary who arrived on the island in 1857. In 1861 sandalwood traders intentionally exposed the natives to measles. Two children of one of the island's chiefs had died in Gordon’s care. Blaming him for their deaths, the chief and a group of warriors killed both George and his wife, Ellen, in 1861. His brother, James D. Gordon (1832-1871), sailed to Eromanga in 1864. In 1871 he was killed for reasons that are still unclear. Ten years later the church building was dedicated.

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.206
Threshold uncertainty score0.478

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1430.015

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 head0.006
GPT teacher head0.163
Teacher spread0.156 · 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
GenreDataset

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
Published2014
Admission routes1
Has abstractyes

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