The Relationship Between Electronic Device Usage and Relationship Satisfaction
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
This study explores the impact of electronic device usage on interpersonal relationships, analyzing both positive and negative consequences across diverse social dynamics. It highlights that while devices like smartphones facilitate communication and social connection, especially for isolated groups like the elderly and teenagers, they often negatively affect the quality of professional, intimate, and familial interactions. The concept of 'phubbing,' where attention is diverted to phones during social interactions, is critically examined for its role in reducing relationship satisfaction and emotional commitment. There are also some other concepts used with electronic devices that are discussed. Key mediating and moderating variables encompass individual characteristics and interpersonal perceptions. Practical insights for mitigating adverse effects and enhancing communication quality are provided. The study underscores the need for longitudinal research and varied measurement methods to capture the complex interplay between technology use and interpersonal relationship dynamics, aiming to guide future research toward a more profound understanding of these phenomena.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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