Selective motion: media displacement among older Internet users
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
An increasing number of studies explore various aspects of new media use in later life, but most ignore the parallel use of traditional mass media among older adults. Relying on technological and functional approaches in communications research, this study explores how media displacement processes serve as mechanisms that regulate seniors’ media consumption in various sociocultural environments. The study is based on a survey of 6989 Internet users aged 60 and older from six countries (Austria, Denmark, Israel, the Netherlands, Romania and Spain), and compares usage rates and time spent using old media with that allotted to consumption of their digital equivalents. Furthermore, it examines levels of media displacement in different countries and explores the factors explaining such displacement. Results indicate a high media displacement with regard to newspapers and magazines, followed by book reading, with a relatively marginal transition to online TV and radio. Displacement levels vary among participating countries and are highest in Spain and Israel, with differences remaining significant even after controlling for background characteristics. The most significant displacement predictor, however, is the variety of users’ online activities. These findings suggest that despite the increasing percentage of older Internet users, this audience tends to adhere to familiar media practices. Nevertheless, it also exhibits selective displacement that is highly dependent on users’ media habits, the relative advantages of each medium and sociocultural contexts. Such selectivity may be considered a specific strategy for setting, pursuing and maintaining personal goals in later life.
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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 | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.004 |
| 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 it