MétaCan
Menu
Back to cohort
Record W4414002920 · doi:10.25071/1920-7336.41377

“I Am a Princess Who Moves Around a Lot”: Syrian Refugee Women and the Shifting Roles and Responsibilities During Early Settlement in Southwestern Ontario

2025· article· en· W4414002920 on OpenAlexaffvenueabout
Rana Telfah

Bibliographic record

VenueRefuge Canada s Journal on Refuge · 2025
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsSettlement (finance)RefugeePolitical scienceGender studiesHistoryGeographySociologyArchaeologyBusinessFinance

Abstract

fetched live from OpenAlex

This article takes a feminist approach to understanding Syrian refugee women’s early settlement experiences in small southwestern Ontario communities. It draws on interviews with Syrian refugee women who arrived in Canada with their families, sometimes without husbands, in 2016–2019. It is argued that the refugee journey and resulting shifts in Syrian women’s reproductive activities, including when they settle in rural/small-town southwestern Ontario, help them find a voice, giving them greater independence and power within their families. This study emphasizes the gendered nature of household production and contributes to literature on social reproduction by exploring the often-overlooked context of refugee resettlement. Findings highlight the necessity for policies that provide better support for refugee women during early settlement.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.179
Threshold uncertainty score0.360

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0260.019
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.266
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueRefuge Canada s Journal on RefugeSame topicMigration, Health and TraumaFrench-language works237,207