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Record W7070413416

Preferential Refugee Policies in Postwar Canada

2021· article· en· W7070413416 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of international women's studies · 2021
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeRepatriationGovernment (linguistics)MulticulturalismCultural assimilationPublic policyDisplaced personImmigration
DOInot available

Abstract

fetched live from OpenAlex

Canada is widely known today to accept migrants seeking refuge, however, some groups received preferential treatment when entering Canada after the Second World War. The purpose of this study is to examine the political, economic, and social reasons behind why the Canadian government wrote preferential refugee policies for specific groups seeking refuge. Utilizing government correspondence written between 1948 and 1957 and literature that reviews the implementation of public policy and its effects, this study analyzes the motivations and factors that led to the government’s policy decisions on American draft dodgers fleeing the draft, Baltic refugees fleeing Soviet repatriation and rule, and Hungarian refugees who fled communism. This reveals that the Government of Canada established preferential policies for refugees based on race, religion, and assimilationist principles. It proves that although Canada embraces multiculturalism and humanitarian refugee policies today, in its past, it chose to selectively accept refugees and provide preferential avenues for refugees seeking safety in Canada.

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)0.002
metaresearch head score (Gemma)0.008
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.977

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0170.005
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.252
Teacher spread0.236 · 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
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
Published2021
Admission routes1
Has abstractyes

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