Unique events improve episodic richness, enhance mood, and alter the perception of time during isolation
Bibliographic record
Abstract
Living in isolation is associated with a lack of stimulating experiences, which negatively impacts quality of life and increases risk of advancing cognitive decline for older adults. We examined how engaging in unique events would enhance memory and improve well-being during the COVID-19 pandemic lockdowns, a period characterized by social isolation and monotonous daily experiences lacking diversity. Over 8-weeks during lockdowns, 18 healthy older adults used a smartphone-based application called “HippoCamera”, capturing a total of 670 events with short audio-video cues that were later replayed to prompt memory. As expected, unique events were recalled in greater episodic detail relative to routine events. Importantly, unique events were related to increased positive affect, decreased boredom, and the perception of time moving faster. These findings highlight the benefit of unique experiences for both memory and well-being, as well as suggest interventions to benefit older adults who tend to experience higher levels of social isolation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".