MétaCan
Menu
Back to cohort
Record W4406230277 · doi:10.1093/bjsw/bcae205

Scholarship on LGBTQIA+ migrants in the social work field: A scoping review

2025· review· en· W4406230277 on OpenAlexafffund
Gurleen Kaur Matharu, Odessa González Benson, Kateřina Palová, Anusha Kassan

Bibliographic record

VenueThe British Journal of Social Work · 2025
Typereview
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of British ColumbiaAlberta Energy
FundersWomen and Gender Equality Canada
KeywordsScholarshipGender studiesIntersectionalitySociologyLesbianHuman sexualityPolitical science

Abstract

fetched live from OpenAlex

Abstract In social work and related practice fields, studies tend to treat LGBTQIA+ and migrant communities as distinct groups, overlooking the unique challenges faced by those at their intersection. This study uses an intersectional lens to examine social work scholarship on LGBTQIA+ migrants in order to map trends and identify gaps. We examined scholarship along various dimensions, including (1) geography, temporality, and methodology; (2) migrant and gender and sexuality identities; and (3) a range of topics. Findings suggest that literature is skewed towards health and mental health as a topic, qualitative methods, and the Global North as the location of first authors and research sites. Economic migrants receive more attention than vulnerable groups such as asylum seekers and undocumented migrants. Regarding sexual and gender identities, the bulk of literature is focused on men who have sex with men, followed by gay, lesbian, and bisexual identities. Also, the number of identities examined has greatly increased over time, while LGBTQIA+ migrant youth emerged as understudied. Findings in this scoping review point to heightened intersectional perspectives in the study of LGBTQIA+ migrants in the social work field.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Systematic reviewlow
gptno category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Other designhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.823
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.003
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.110
GPT teacher head0.481
Teacher spread0.371 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designSystematic review · Other design
Domainnot available
GenreReview

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 routes2
Has abstractyes

Explore more

Same venueThe British Journal of Social WorkSame topicLGBTQ Health, Identity, and PolicyFrench-language works237,207