Mobile Technology and Boundary Permeability
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 extensive review of the literature reveals a lack of insight into why some employees and their families benefit from the adoption of mobile technology while others do not. The paper summarizes the authors' efforts to answer this question. The authors undertook a longitudinal case study of the adoption and use of a B lack B erry S martphone by 25 professional knowledge workers. Four theoretical lenses were used to help with the data analysis process: boundary theory, the social constructivist view of technology, sensemaking and attribution theory. Analysis of the Time 2 data identified three groups. Segmentors (n = 4) did not use their smartphones outside work hours. Integrators (n = 8), used their smartphones to connect to both work and family anywhere, but not any time (temporally separated work and family roles). Struggling segmentors (n = 13) felt pressured by their organization to use their device 24/7 and did so. The analysis indicates that the relationship between the use of mobile technology and successful boundary management depends on the development of a strategy to manage the device prior to adoption, the ability to change one's strategy to respond to concerns at home, and self‐control.
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 | 0.001 | 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 | 0.000 | 0.001 |
| 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