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Record W10239399 · doi:10.1007/bf02222589

Picture Brides in Early Japanese Immigration to Canada

2002· article· en· W10239399 on OpenAlexaboutno aff
ドナルド カドゥアー

Bibliographic record

Venue大阪樟蔭女子大学学芸学部論集 · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationPolitical scienceLaw

Abstract

fetched live from OpenAlex

Japanese immigration to Canada commenced during the latter part of the 19th century and the first two decades of the 20th century. 1908 marked the beginning of the "family-building" phase for Japanese immigrants in Canada. Married men, who had decided to remain in Canada, were now calling their wives and children over from Japan. But it was the single men who wanted to change their nomadic existence - as well as to relieve the pressure on them to marry - that accounted for the continuous immigration of women across the Pacific. Some men returned to Japan to have marriages arranged (the miai-kekkon). But the favourite and most practical scheme was the "picture bride" plan, which began with an exchange of photographs after relatives of the immigrant had sought out a woman whom they regarded as suitable. If the potential groom was influenced at all by the photograph, he would write to his relatives and instruct them to register their "marriage" in Japan. Furthermore, after an exchange of letters between the now married couple, the woman would then travel to Canada as his bride after the groom had arranged for a passport and travel expenses. In most cases the parties were complete strangers, and the union was based essentially on the couple's suitability to be helpmates in the struggles of a new life in Canada. To marry as a "picture bride" was almost exclusively determined by the limited available options for the Meiji era women. They recognized that remaining single was socially unacceptable in Japanese society, so they chose to be picture brides as their only viable option for marriage, and for a number of valid reasons. It was a choice that would inevitably change the future course of their lives, but one that stabilized the Japanese community in Canada so that a secure future was procurable for all the Japanese immigrants.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0190.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0220.001

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.

Opus teacher head0.013
GPT teacher head0.224
Teacher spread0.211 · 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 designObservational
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
Published2002
Admission routes1
Has abstractyes

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