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Record W4381888415 · doi:10.1002/cl2.1340

PROTOCOL: In‐person interventions to reduce social isolation and loneliness: An evidence and gap map

2023· article· en· W4381888415 on OpenAlex
Vivian Welch, Elizabeth Tanjong Ghogomu, Sierra Dowling, Wan Yuen Choo, Raudah Mohd Yunus, Tengku Amatullah Madeehah Tengku Mohd, Niobe Haitas, Sivan Bomze, Simone Dahrouge, Edward Garcia, Julianne Holt‐Lunstad, Mathias Lasgaard, Michelle H. Lim, Kate Mulligan, Douglas M Salzwedel, Pamela Qualter, Paul C. Hébert, Christopher Mikton

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.

Bibliographic record

VenueCampbell Systematic Reviews · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of British ColumbiaPublic Health OntarioUniversity of TorontoCanadian Red Cross SocietyUniversity of OttawaBruyère
FundersWorld Health Organization
KeywordsLonelinessPsychological interventionIsolation (microbiology)Protocol (science)Social isolationPsychologySocial psychologyMedicinePsychotherapistPsychiatryAlternative medicine

Abstract

fetched live from OpenAlex

This is the protocol for an evidence and gap map. The objectives are as follows: This EGM aims to map available evidence on the effects of in-person interventions to reduce social isolation and/or loneliness across all age groups in all settings.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.294
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.423
GPT teacher head0.518
Teacher spread0.095 · 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