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Record W4412673792 · doi:10.1177/23333936251353210

“Home Away From Home”: A Critical Metaphor Analysis of Displaced Ukrainian Women’s Experiences With Their Canadian Hosts

2025· article· en· W4412673792 on OpenAlexaffabout
Areej Al‐Hamad, Yasin M. Yasin, Kateryna Metersky, Sepali Guruge

Bibliographic record

VenueGlobal Qualitative Nursing Research · 2025
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversity of New BrunswickToronto Metropolitan University
Fundersnot available
KeywordsMetaphorPhoto elicitationThematic analysisUkrainianSociologyGratitudeNarrativeVulnerability (computing)Focus groupPsychologyGender studiesQualitative researchSocial psychologySocial scienceLinguisticsAnthropology

Abstract

fetched live from OpenAlex

Displaced by the Russian invasion, Ukrainian women face complex challenges in adapting to new environments. This study explores their experiences living in homestay arrangements in Canada, drawing on Conceptual Metaphor Theory and Critical Metaphor Analysis to examine how they express displacement, adaptation, and integration. Eighteen women participated through photo-elicitation interviews, metaphor-building activities using AI-generated images, and focus group discussions. The participants created metaphors to represent their hosting experiences, which were analyzed using Charteris-Black's framework for Critical Metaphor Analysis alongside thematic narrative analysis. Metaphors such as "The Cardboard House," "Ferris Wheel of Photos," and "Warm Safe House" captured their resilience, vulnerability, and evolving sense of belonging. These metaphors informed three central themes: the search for stability, safety, and peace; the process of adaptation and expressions of gratitude; and the emotional dislocation tied to homeland connections. The findings highlight the emotional complexity of homestay experiences and the need for culturally sensitive, structured hosting models. For nursing, this underscores the value of trauma- and culturally-informed care to support displaced women's psychosocial well-being.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.066
GPT teacher head0.484
Teacher spread0.419 · 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 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

Citations3
Published2025
Admission routes2
Has abstractyes

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