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Record W1888467862 · doi:10.61611/2165-4611.1031

Employment Supports for Newcomers in Small and Middle-sized Communities andRural Areas: Perspectives of Newcomers and Service Providers

2012· article· en· W1888467862 on OpenAlexaffabout
Bharati Sethi, Robert J. Gebotys

Bibliographic record

VenueContemporary Rural Social Work Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsService providerImmigrationGovernment (linguistics)UnemploymentEconomic growthService (business)BusinessPublic relationsPolitical scienceSociologyMarketingEconomics

Abstract

fetched live from OpenAlex

In recent years there has been an increased migration of highly skilled and educated cohort of men and women from their initial port of entry—large urban centers such as Toronto, Vancouver, and Montreal—to smaller urban/rural communities as a result of regionalization of the Canadian immigration policies. This article examines the employment supports for newcomers in Grand Erie—an urban/rural area in Ontario—which is now a home to an unprecedented number of newcomers. Using a community-based participatory research methodology, data were gathered from 212 newcomers and 237 service providers through quantitative and qualitative responses in the survey questionnaires. Results show that newcomers faced many challenges including non-recognition of foreign credentials, unemployment, language barriers, and discrimination. Collaboration between newcomers, service providers, social workers, and government is vital to foster newcomer integration in this region as well as in other smaller communities.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score0.707

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.067
GPT teacher head0.303
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 teacher head, 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

Citations8
Published2012
Admission routes2
Has abstractyes

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