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Record W2788625718 · doi:10.32920/23739417

Settling Immigrants in Neoliberal Times: NGOs and Immigrant Well-being in Comparative Context

2023· article· en· W2788625718 on OpenAlex
Karla Angélica Valenzuela Moreno, John Shields, Julie Drolet

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsImmigrationSettlement (finance)Neoliberalism (international relations)Context (archaeology)RefugeePolitical sciencePolitical economyState (computer science)PopulismDevelopment economicsSociologyPoliticsGeographyLawEconomics

Abstract

fetched live from OpenAlex

<p>Current events, such as the 2008 economic crisis, the large number of asylum seekers fleeing from conflict zones, terrorism threats, and the growth of right-wing antiimmigrant populism, all within the context of neoliberalism, raise questions regarding the settlement and integration of migrant newcomers in Western liberal democracies. This involves an increasing role for NGOs in immigrant settlement provision through state-NGO ‘partnerships’. By exploring immigration and settlement policy in a comparative context, our main objective is to analyze the role of nonprofits in settlement and integration service delivery, as well as their activities aimed at promoting immigrant well-being and social justice in neoliberal times.</p>

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.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.507
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.024
GPT teacher head0.315
Teacher spread0.291 · 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

Quick stats

Citations28
Published2023
Admission routes2
Has abstractyes

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