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Record W4293243001 · doi:10.1177/07334648221118357

Understanding Social and Emotional Loneliness among Black Older Adults: A Scoping Review

2022· review· en· W4293243001 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Applied Gerontology · 2022
Typereview
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsWestern UniversityMcGill UniversityUniversity of CalgaryMcMaster University
Fundersnot available
KeywordsLonelinessSocial isolationPsychological interventionEthnic groupPsychologyGerontologyMedicineSocial psychologySociologyPsychiatry

Abstract

fetched live from OpenAlex

Black older adults' (BOAs) experience of loneliness differs from other ethnic groups because of the disproportionate disadvantages faced across their life course. This scoping review aimed to describe the range of research on loneliness or subjective social isolation among BOAs, identifying the contributing factors to loneliness in this population, based on Weiss' Social provision Framework. Of the 15,345 initial retrieved citations from seven databases and corporate websites, we included 27 studies conducted in the USA, Nigeria, South Africa, Ghana, Canada, the United Kingdom, and Uganda. Studies reporting on BOAs' experience of loneliness focused on the influence of attachment, social integration, opportunity for nurturance, reassurance of worth, guidance, socio-economic factors, health-related factors and behaviors, and technology, media device possession and usage. There is a need for future studies to identify which social provisions (when targeted) could reduce loneliness, allowing clinicians to develop relevant interventions.

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.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.738
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.285
GPT teacher head0.448
Teacher spread0.163 · 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