MétaCan
Menu
Back to cohort
Record W2981133574 · doi:10.1007/978-3-030-25089-8_4

Can Integration Be Temporary? The (Dis)Integration of Temporary Migrant Workers in Canada and the UK

2019· book-chapter· en· W2981133574 on OpenAlexaboutno aff
Şahizer Samuk

Bibliographic record

VenueIMISCOE research series · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationImmigration policyMigrant workersPolitical scienceLiberalizationDemographic economicsEconomic growthEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract This chapter deals with the issue of how policies and policy makers account for the integration of migrants whose stay is expected to be temporary. Temporary migration policies target those whose labour is wanted but whose integration is not. According to the international conventions regarding migrant workers, they should have the same access to social and economic rights as native workers. However, rights advocates point to the gaps between rights in theory and their implementation on the ground. This research is based on 53 semi-structured and in-depth interviews with policy-makers, migrant organisations, migrant lawyers, unions and migration research centres, conducted in Canada and the UK. The two countries have both implemented temporary migration programmes for seasonal and low-skilled workers. My analysis shows that, in both countries, temporary migration policies and temporariness hinder the integration of migrant workers. However, the two countries differ in their rhetoric regarding temporary migrant workers: Canadian policy-makers seem to be more self-critical and more inclined to have further solutions to temporariness, whilst UK policy-makers focus on a more functional perspective where temporariness is easily justified. I argue that this difference is at least partly due to the differential immigration histories of the two countries. Canada has a long history of welcoming immigrants, who are now part of the imagined community of nationals, whereas the UK is a post-colonial country where immigration policy has fluctuated in its liberalisation and restriction via temporary routes, visas and its five-tier points-based system.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.821
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.050
GPT teacher head0.325
Teacher spread0.275 · 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 designTheoretical or conceptual
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

Citations17
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueIMISCOE research seriesSame topicMigration and Labor DynamicsFrench-language works237,207