Not All on the Same Page: E-Book Adoption and Technology Exploration by Seniors.
Bibliographic record
Abstract
This paper aims to understand the adoption of e-books and e-readers by persons aged sixty and above. This includes an investigation into where seniors are in the stages of e-book adoption. Method: Data were collected through semi-structured interviews in a mid-size city in Southwestern Ontario, Canada. Analysis: Interviews were transcribed, and coded using grounded theory. Rogers's model of the innovation-decision process was used to inform the data analysis process. Results: The results show three key factors affecting adoption: longing for materiality, technology confidence, and technology exploration. While seniors are interested in e-books and e-readers, see many benefits to their use, and are curious about how they function, the majority perceive this technology as being primarily appropriate for younger generations. Conclusion: The findings have implications for our understanding of the diffusion of innovations amongst the senior population and the development of services geared toward them. E-books and e-readers are technologies that could prove beneficial, aiding with issues related to both portability and convenience. However, e-books do not allow for the sharing of books that this population is accustomed to, and many of them are still on the fence about fully adopting this tool into their reading practices.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".