An Empirical Investigation of External Factors Influencing Mobile Technology Use in Canada
Why this work is in the frame
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Bibliographic record
Abstract
Cell phones have changed the way people live. A deeper understanding of how the attributes of these technologies influence end-users’ perceptions is an important issue. A better understanding of cellular phone adoption and use process will inform people’s understanding of the diffusion process of other types of communication technologies. This empirical paper examines the influence of the Technology Characteristics, Group Characteristics (Familiarity), Mobility, Facilitating Conditions, and Social Influence on the use of the cell phones. Data were collected through a questionnaire survey from a final sample of 277 cell phone users in Quebec (Canada). The results suggest that, among the factors mentioned, only Mobility has a direct influence on the adoption on all the three indicators of use defined in this study. These findings have theoretical and managerial implications, which are highlighted.
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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 | 0.004 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it