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Record W1882457624 · doi:10.25071/1920-7336.37507

Resilience among Single Adult Female Refugees in Hamilton, Ontario

2013· article· en· W1882457624 on OpenAlexaffvenueabout
K. Bruce Newbold, Karen Chung, Ellie Hong

Bibliographic record

VenueRefuge Canada s Journal on Refuge · 2013
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsMcMaster University
Fundersnot available
KeywordsRefugeeGrounded theoryPsychological resilienceGovernment (linguistics)Resilience (materials science)Social supportSociologyAdaptation (eye)Political scienceSocial psychologyPsychologySocioeconomicsEconomic growthGender studiesQualitative researchSocial science

Abstract

fetched live from OpenAlex

Single adult females remain among the most vulnerable of all refugee populations. However, there is a lack of research on supporting and empowering these women. There is a new interest in identifying factors that reinforce resilience and, ultimately, adjustment to the host country. In line with the current work on resilience, semi-structured, indepth, personal interviews with single refugee women were conducted in the city of Hamilton, Ontario. A grounded theory approach revealed participants’ perspectives on the support received from religious or cultural communities, non-governmental organizations, and the government in terms of their perceived contribution to adaptation. Both informal and formal support, along with individual characteristics, were found to be crucial for reinforcing resilience among these refugees, reflective of a collective resilience model that moves beyond individual and community resilience. Future research should aim to investigate the perspectives of those who did not receive social support from shelters as well as to assess the efficacy of current refugee support services.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score1.000

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.013
GPT teacher head0.267
Teacher spread0.254 · 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.

Study designObservational
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

Citations34
Published2013
Admission routes3
Has abstractyes

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