Older People, Mobile Communication and Risks
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
Starting from Beck’s concept of reflexivity, the paper investigates differences in risk perception regarding wireless technologies expressed by older people living in Romania and Catalonia (Spain). We combine evidence from conversations held with older individuals in different research projects together with an ad-hoc media content analysis. Our research reveals that seniors’ discourses were consistent with the media prominence of different types of risks in each country. Results show that seniors’ discourses on health risks relate to the way the media discussed them, with Romanian participants, in contrast to older people from Catalonia, expressing no concerns about electromagnetic radiation. Also, Romanian seniors were more concerned about the risk to others—younger family members—whereas seniors in Catalonia were more concerned about their own risks. Seniors from Romania made more references to the country’s development. We discuss aging futures in societies with different risk perceptions. As the media presents the risks associated with digital technologies in differing lights, people’s perceptions are formed accordingly. Also, in countries where technology is perceived as good per se, the techno-optimistic discourse would be reinforced not only by the media but also by the groups exposed to the highest social pressure towards technology adoption—for example, seniors.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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)
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