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Record W2606761632 · doi:10.1017/s0714980817000101

Social Isolation in Chinese Older Adults: Scoping Review for Age-Friendly Community Planning

2017· article· fr· W2606761632 on OpenAlexaffabout
Manaal Syed, Lynn McDonald, Corinne Smirle, Karen Lau, Raza Mirza, Sander L. Hitzig

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsHealth Sciences CentreUniversity of TorontoUniversity Health NetworkSunnybrook Health Science CentreToronto Rehabilitation InstituteYork University
Fundersnot available
KeywordsSocial isolationIsolation (microbiology)GerontologySocial planningChinaPsychologyMedicineGeographyEnvironmental healthPsychiatryBiologyBioinformatics

Abstract

fetched live from OpenAlex

RÉSUMÉ Les adultes chinois plus âgés peuvent être exposés à un risque accru d’isolement social et de solitude; pourtant, une telle compréhension des défis auxquels ils peuvent faire face pour la participation sociale dans leurs quartiers et communautés est fragmentée. Un examen de la portée a été entrepris pour décrire les connaissances actuelles sur l’isolement social et la solitude chez les aînés chinois vivant en milieu urbain dans les sociétés occidentales afin d’éclairer les recherches, les pratiques et les politiques futures au Canada. Dix-neuf articles répondent aux critères d’inclusion. Le système des communautés conçues pour les adultes vieillisantes de l’Organisation mondiale de la Santé a contextualisé les résultats de l’étude. Les études ont identifié des questions liées (1) à la participation sociale; (2) au soutien communautaire et aux services de santé; (3) au logement; (4) à la communauté et à l’information; (5) au respect et à l’inclusion sociale; (6) aux espaces extérieurs et aux édifices publics; (7) à la participation civique et à l’emploi; et (8) au transport. L’isolement social et la solitude sont des préoccupations croissantes au sein de cette population au Canada, et des recherches supplémentaires sont nécessaires pour en déterminer la portée et les interventions efficaces.

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)0.006
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0150.016
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.348
Teacher spread0.311 · 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 designNot applicable
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

Citations45
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicHealth disparities and outcomesFrench-language works237,207