MétaCan
Menu
Back to cohort
Record W4407262481 · doi:10.1080/26408066.2025.2463381

Social Work and Sexual Minorities: The Health and Psychosocial Realities of Queer Men in Nigeria and Its Implication for Social Work Practice

2025· article· en· W4407262481 on OpenAlexaff
Prince Chiagozie Ekoh, Elizabeth Onyedikachi George

Bibliographic record

VenueJournal of Evidence-Based Social Work · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Sexualities and LGBTQ+ Issues
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsQueerPsychosocialGender studiesSociologySocial workWork (physics)PsychologyEconomic growthPsychotherapistEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: Nigeria is a nation characterized by diverse cultures, religions, and policies that often foster discrimination, oppression, and violence against sexual minorities. This hostile environment can significantly impact social work practices involving these groups. Consequently, this study aimed to investigate the health and psychosocial realities of queer men in Nigeria and their implications for social work practice. METHODS: A qualitative phenomenological approach was adopted for the study. Data were collected from 28 participants, including 16 queer men and 12 social workers, and analyzed thematically. RESULTS: The findings revealed experiences of discrimination and insecurity, which contribute to both physical and psychological health issues. Additionally, the study highlighted a lack of understanding and acceptance among social workers regarding practices involving sexual minorities in Nigeria. DISCOURSE: The results highlight how queer individuals may experience limited access to healthcare and receive limited support from social workers in advancing their healthcare needs. CONCLUSION: It is recommended that social work education incorporate discussions around working with sexual minorities, as a better understanding of this population will enhance acceptance, improve practice, and encourage advocacy for reform in discriminatory policies and practices.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.516
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.113
GPT teacher head0.435
Teacher spread0.321 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Evidence-Based Social WorkSame topicAfrican Sexualities and LGBTQ+ IssuesFrench-language works237,207