Technostress in later life: A multinational study
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.
Bibliographic record
Abstract
To explore sociodemographics and internet use patterns associated with technostress (stress resulting from Information and Communication Technology [ICT] use) among older adults from various countries. An online survey with 3,030 ICT users aged 60 and over from Austria, Canada, Israel, Romania, Spain, and the Netherlands. Mean technostress scores in all participating countries were moderate. Factors most frequently associated with higher technostress levels included poor self-rated health, fewer hours of use, a smaller number of devices used, and less frequent online performance of tasks. In the entire sample, higher technostress correlated with retirement, living with a partner, and residing in Canada, whereas living in Austria or Romania was associated with lower stress. However, the factors most strongly connected to technostress were health and use patterns. The findings reveal more similarities than differences among countries. Improving digital literacy may protect retired and unhealthy older adults from the negative impacts of technology use.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.004 | 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 it