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Record W3009773332 · doi:10.22329/csw.v14i1.5874

Newcomer ReSettlement in a Globalized World

2019· article· en· W3009773332 on OpenAlex
Bharati Sethi

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCritical Social Work · 2019
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsWilfrid Laurier University
FundersWilfrid Laurier University
KeywordsGovernment (linguistics)Service providerSocial workSettlement (finance)ImmigrationPublic relationsParticipatory action researchQualitative researchPolitical scienceQualitative propertySociologyWork (physics)RefugeeService (business)Economic growthBusinessSocial scienceMarketingEngineering

Abstract

fetched live from OpenAlex

This paper presents findings from part of a larger Community-based Participatory Research (CBPR) entitled ‘Newcomer Settlement and Integration in Education, Training, Employment, Health and Social Support in Grand Erie’. Data was gathered from 212 newcomers (men and women) and 237 service providers. The qualitative and quantitative responses to the survey questionnaires (newcomers and service providers) on social supports highlight newcomers’ experiences of discrimination, as well as draw attention to the unique barriers that immigrant/refugee women experience in their resettlement. The multifaceted nature of factors contributing to newcomer integration requires collaboration between newcomers, service providers, and government officials. The study findings have important implications for social work practise and settlement policies in an increasingly globalized world.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0210.004

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 head0.041
GPT teacher head0.411
Teacher spread0.370 · 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