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Record W4200286005 · doi:10.3390/rel12121113

Considering Spiritual Care for Religiously Involved LGBTQI Migrants and Refugees: A Tentative Map

2021· article· en· W4200286005 on OpenAlexaff
Charles J. Fensham

Bibliographic record

VenueReligions · 2021
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRefugeeShameMental healthPsychologyFace (sociological concept)Social psychologySociologyPolitical sciencePsychiatrySocial science

Abstract

fetched live from OpenAlex

This paper describes research relevant to spiritual care for LGBTQI refugees and migrants. The literature indicates some distinct challenges faced by religiously involved LGBTQI migrants and refugees. LGBTQI migrants and refugees may not be able to experience family and religion as supportive compared to migrants and refugees who do not identify as LGBTQI. Such migrants and refugees thus face elevated levels of mental health challenges compared to non-LGBTQI refugees and they also face additional mental health risks compared to non-refugee LGBTQI adults and youth. Such risks include suicidality, depression, substance abuse, social isolation, internalised religious homonegativity, shame and risks to sexual health and a breakdown in the ability to trust others and caregivers. The paper identifies five seminal areas for extending care in the light of the research. These include building trust and properly assessing risk, working towards relational health, helping clients move to new ways of constructing and conceiving of family, easing the influence of internalised homonegativity and shame, and finding written and human resources that will be helpful to clients. These areas of care only present a tentative map as this issue requires more research and reflection.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.894

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 integrity0.0000.000
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 head0.037
GPT teacher head0.379
Teacher spread0.342 · 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.

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

Citations2
Published2021
Admission routes1
Has abstractyes

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