Toyo Eiwa Jogakko as a Site of International Exchange : The Experiences of Three Canadian Methodist Women
Bibliographic record
Abstract
本稿はカナダ・メソジスト教会婦人伝道会社に派遣され、東洋英和女学校の初期を形成した三人の女性伝道者たちの異文化交流に焦点を当てる。創立者であるマーサー・J・カートメル(1845-1945)の滞在期間は病気により短いものとなった。イライザ・スペンサー・ラージ(1855-1933)は、校舎において目の前で夫を殺害され、後には日本におけるカナダ・メソジスト伝道運動を脅かすほどの闘いに挑むこととなる。そしてアグネス・ウィントミュート・コーツ(1864-1945)は、当初伝道のために精力的な活動をするも、来る戦時期には長きにわたる疎外と孤独な死が彼女を待ち受けていた。書簡、報告書、議事録を紐解いていくことで、日本という生活環境そして布教の地でカナダ人伝道者たちが経験した国際交流の複雑さを素描する。
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.101 | 0.023 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".