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Northern Passage: American Vietnam War Resisters in Canada

2017· dataset· en· W2144819665 on OpenAlexaboutno aff

Bibliographic record

VenueThe SHAFR Guide Online · 2017
Typedataset
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical sciencePoliticsLawAmnestyImmigrationSpanish Civil War

Abstract

fetched live from OpenAlex

More than 50,000 draft-age American men and women migrated to Canada during the Vietnam War, the largest political exodus from the United States since the American Revolution. How are we to understand this migration three decades later? Was their action simply a marginal, highly individualized spin-off of the American antiwar movement, or did it have its own lasting collective meaning? John Hagan, himself a member of the exodus, searched declassified government files, consulted previously unopened resistance organization archives and contemporary oral histories, and interviewed American war resisters settled in Toronto to learn how they made the momentous decision. Canadian immigration officials at first blocked the entry of some resisters; then, under pressure from Canadian church and civil liberties groups, they fully opened the border, providing these Americans with the legal opportunity to oppose the Vietnam draft and military mobilization while beginning new lives in Canada. It was a turning point for Canada as well, an assertion of sovereignty in its post-World War II relationship with the United States. Hagan describes the resisters' absorption through Toronto's emerging American ghetto in the late 1960s. For these Americans, the move was an intense and transformative experience. While some struggled for a comprehensive amnesty in the United States, others dedicated their lives to engagement with social and political issues in Canada. More than half of the draft and military resisters who fled to Canada 30 years ago remain there today. Most lead successful lives, have lost their sense of Americanness, and overwhelmingly identify themselves as Canadians.

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)0.003
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: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.056
Threshold uncertainty score0.407

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0400.005
Scholarly communication0.0070.001
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0130.001

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 head0.015
GPT teacher head0.289
Teacher spread0.274 · 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

Citations32
Published2017
Admission routes1
Has abstractyes

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Same venueThe SHAFR Guide OnlineSame topicCanadian Identity and HistoryFrench-language works237,207