Dataset on cognitive and social well‑being of older adults around the COVID-19 pandemic: The CoSoWELL corpus of written life stories, release 2
Bibliographic record
Abstract
This paper presents the revised and extended release 2 of the Cognitive and Social Well-Being (CoSoWELL) project. The dataset comprises data that was collected n at 8 different time points in the three-year period, between March 2019 until March 2022, thereby covering the entire duration of the COVID-19 pandemic. More than 2000 unique North American older adults (range: 55-84 years old) took part in this data collection. The dataset contains sociodemographic information, along with data on perceived loneliness, the size and quality of social network, frequency of social interactions, and emotion regulation. Personal narratives were also collected, which consisted of personal stories that drew upon long-term, short-term and prospective memory. This dataset can be used to study linguistic markers of loneliness and social isolation in older adults, especially during the times of crisis.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".