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Record W2117318614 · doi:10.3138/chr.3094

Moving the “Less Desirable”: Portuguese Mass Migration to Canada, 1953–74

2015· article· en· W2117318614 on OpenAlexvenueaboutno aff
Gilberto Fernandes

Bibliographic record

VenueCanadian Historical Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsEmigrationAuthoritarianismImmigrationSovereigntyPortugueseHomelandDictatorshipDeportationGovernment (linguistics)LiminalityImmigration policyPolitical sciencePolitical economyReferendumSociologyLawPoliticsDemocracy

Abstract

fetched live from OpenAlex

Abstract: The sovereignty of migration policy-makers is never absolute. This has been true for both receiving and sending states. One important check on the receiving nation's immigration policy implementation was the sending nation's own sovereignty over its expatriated citizens. These colliding sovereignties have sometimes created liminal spaces where migrants and their informal facilitators were able to subvert regulations by playing them against each other, while, at other times, they were pressed between formal gatekeepers bent on enforcing their policies. This bilateral dimension is often missing from Canadian immigration history, as is the role of homeland government officials, who brokered and supervised these migrant movements while conciliating the roles of gatekeepers and facilitators. This is especially significant when it involved authoritarian governments, such as Portugal's Estado Novo dictatorship (1926–74). How did Ottawa's relatively liberal immigration policies correspond with the Estado Novo's authoritarian stance on emigration? How did Portuguese officials influence the movement of its emigrants in Canada? How did the migrants react to the concerted top-down arrangements of two imposing governments? This article examines these and other questions in reference to the Portuguese “bulk order”, family sponsorship, and clandestine movements to Canada between 1953 and 1974.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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: Other · Consensus signal: none
Teacher disagreement score0.454
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.055
GPT teacher head0.254
Teacher spread0.199 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2015
Admission routes2
Has abstractyes

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