MétaCan
Menu
Back to cohort
Record W4393839098 · doi:10.5281/zenodo.10262456

滬尾偕醫館 & 淡水禮拜堂

2022· dataset· en· W4393839098 on OpenAlexaboutno aff
areong

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typedataset
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

加拿大長老教會傳教士馬偕於1872年抵達台灣淡水,1873年租用民房創立北台灣第一所西醫院——滬尾醫館,1879年運用捐款建立新的醫院,即**滬尾偕醫館**。1883年清法戰爭時滬尾偕醫館曾救助大量傷兵。1901年馬偕過世後醫館曾暫時停診。1912年,馬偕抵台40週年,馬偕馬偕紀念醫院於台北落成,滬尾偕醫館才功成身退。 Canadian Presbyterian missionary Dr. George Leslie Mackay arrived Tamsui, Taiwan (then Hobe, Formosa) in 1872. In 1873, Mackay established the first hospital of Western medicine in northern Taiwan, the Hobe Hospital, in a rented house. In 1879, using donations Dr. Mackay established a new hospital, the **Hobe Mackay Hospital**. During the Sino-French War in 1884, lots of wounded solders were brought here for treatment. The hospital temporarily suspended service after Dr. Mackay passed away in 1901. In 1912, the 40th anniversary of Dr. Mackay arriving Taiwan, the Mackay Memorial Hospital is established in Taipei, and thus the Hobe Mackay Hospital finally ended its primary mission. Ref: [滬尾偕醫館,淡水維基館](http://tamsui.dils.tku.edu.tw/wiki/index.php/%E6%BB%AC%E5%B0%BE%E5%81%95%E9%86%AB%E9%A4%A8) (Chinese) 302 photos at 2022/06/05 Source: Objaverse 1.0 / Sketchfab

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0520.013

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 head0.072
GPT teacher head0.243
Teacher spread0.171 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicMedical History and InnovationsFrench-language works237,207