Loneliness and social isolation during the COVID-19 pandemic
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: ObservationalConsensus signal: none
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.792
- Threshold uncertainty score
- 0.495
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.330 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Loneliness and social isolation are associated with adverse physical and psychological consequences which are particularly prevalent in older persons. During this unprecedented time of the COVID-19 pandemic, we must follow social distancing guidelines to protect ourselves and to reduce the spread of coronavirus. At the same time, it is crucial to maintain social connections with each other, especially with older persons, to help cope and reduce the negative consequences of loneliness and social isolation. It is important to develop new strategies (e.g. virtual health care and new government policy) to address loneliness and social isolation among older adults for the post-pandemic era.
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.
The record
- Venue
- International Psychogeriatrics
- Topic
- Health disparities and outcomes
- Field
- Social Sciences
- Canadian institutions
- University of TorontoUniversity of Ottawa
- Funders
- not available
- Keywords
- LonelinessPandemicCoronavirus disease 2019 (COVID-19)Social isolationContent (measure theory)Isolation (microbiology)2019-20 coronavirus outbreakAction (physics)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Computer sciencePsychologyWorld Wide WebInternet privacyVirologyMedicineSocial psychologyPsychiatryBiologyMathematicsBioinformatics
- Has abstract in OpenAlex
- yes