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Record W1138473 · doi:10.17077/etd.u62vaazb

Mexican refugees in Canada post-NAFTA and the effects of immigration and refugee policy reforms

2013· dissertation· en· W1138473 on OpenAlexaboutno aff
Emma Therese Hashman

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeImmigrationPolitical scienceImmigration policyDemographic economicsDevelopment economicsEconomic growthEconomicsLaw

Abstract

fetched live from OpenAlex

Canada and Mexican relations have not been written about in much length past Canada's Temporary Foreign Worker Program (TFWP) recruiting Mexican laborers. In recent years, migration from Mexico to Canada has increased at an exponential rate. The most significant and notable increase has been in the number of refugee claims from Mexicans wanting to seek asylum in Canada. It is found that Canada is the number one destination for Mexican refugees, while Canada accepts their claims at an alarmingly low rate compared to claims from other nations, even in Latin America. I argue the reason Mexicans chose Canada to claim refugee status is Canada's long history of an open immigration policy and especially their economic and temporary labor agreements with Canada. These policies give the impression to Mexicans they are very much welcome in Canada. This is proved to be untrue when Canada changed their immigration and refugee policies in response, specifically, to the overwhelming number of Mexican refugee claims.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score0.972

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0190.004
Scholarly communication0.0080.002
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.000

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 head0.002
GPT teacher head0.254
Teacher spread0.252 · 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 designQualitative
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
Published2013
Admission routes1
Has abstractyes

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