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Record W2412836849

My Dearest Miss Randall

2013· article· fr· W2412836849 on OpenAlexaboutno aff
Mei-Hsien Lin, Mei‐Ling Chen

Bibliographic record

VenueZānghuà yīxué · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChoseHistoryRomanizationMedicineReligious studiesTheologySociologyAncient historyPolitical scienceLawPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Joy Margaret Randall was born in 1943 in Cobourg, a small town in Ontario, Canada. After graduating from Belleville Nursing School in 1962, she enrolled into both the Presbyterian Church in Toronto to study theology and Christian education and the University of Alberta to study obstetric nursing.Her mother church was the Canadian Presbyterian Church Overseas Mission, and she chose to be sent to work in Nigeria. At that time, however, Nigeria was at war, so by the suggestion of an experienced missionary, she decided to go to Taiwan-Formosa. She spent two years learning Taiwanese through Romanization in Taiwan Theological College and Seminary, and received training in communication in Taiwanese at Mackay Memorial Hospital. In October 1971, invited by Dr. David Landsborough IV, founder and superintendent of Changhua Christian Hospital, the first western medical hospital in central Taiwan, she and several other foreign missionaries took root and worked together here.

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)0.003
metaresearch head score (Gemma)0.014
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: Other · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0020.013
Insufficient payload (model declined to judge)0.0310.022

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 head0.020
GPT teacher head0.263
Teacher spread0.244 · 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
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
Published2013
Admission routes1
Has abstractyes

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