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Record W6925158551 · doi:10.17605/osf.io/5ckpb

Loneliness and Cognition

2025· other· en· W6925158551 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

VenueOpen Science Framework · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLonelinessDementiaCognitionNormativeCognitive declineNeurocognitiveDistancingSocial isolation

Abstract

fetched live from OpenAlex

Loneliness has been linked to the leading causes of death in Canada, such as cancer and cardiovascular disease (Leigh-Hunt et al., 2017), as well as anxiety, depression and neurocognitive disorders (Hutten et al., 2021; Mann et al., 2022). In the wake of the COVID-19 pandemic, which saw widespread social distancing policies and community lockdowns, there is rising concern that the pandemic exacerbated an already prominent crisis of loneliness (Dangerfield, 2023). Among the most vulnerable to loneliness is the aging population, with major life transitions, such as retirement and bereavement (e.g., death of spouses, friends and family), often leading to decreased social interaction (Donovan & Blazer, 2020). This is particularly concerning due to expanding evidence identifying loneliness as a critical risk factor in age-related cognitive decline, including the development of Mild Cognitive Impairment (MCI) and dementia (Lara et al., 2019). While there is a growing body of work examining the relationship between loneliness and cognitive decline, the nuances of this relationship remain unclear (Cardona & Andrés, 2023). Most existing studies focus specifically on clinical diagnoses and standardized behavioural assessments, and rarely include measures of Subjective Cognitive Decline (SCD). SCD refers to an individual’s perceived decline in their cognitive ability over the course of normative aging (Jessen et al., 2020). Importantly, pathological changes in the brain associated with diseases such as Alzheimer’s are thought to begin years before the onset of clinically identifiable symptoms, and it is well- established that SCD precedes deficits in behavioural testing (Hadjichrysanthou et al., 2020; Jessen et al., 2020). As well, normative age-related cognitive deterioration can significantly interfere with everyday function and overall well-being, long before behaviourally assessed diagnostic criteria is met (Brito et al., 2023). Still, limited research examines how loneliness relates to SCD specifically, and how this compares to behaviourally assessed cognitive decline in older adults without neuropathology. Additionally, minimal work has explored how this relationship may vary across the lifespan. Accordingly, this project aims to evaluate the association between perceived loneliness, and both subjectively- and behaviourally-assessed working memory in an age-heterogeneous population of neurologically healthy adults.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.044
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0030.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.005

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 head0.027
GPT teacher head0.372
Teacher spread0.345 · 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

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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