ICT, Permeability Between the Spheres of Life and Psychological Distress Among Lawyers
Bibliographic record
Abstract
The pervasiveness of information and communications technologies (ICT) has changed the nature of work in recent decades. Positive and negative impacts of ICT have been identified in every profession, including among lawyers. This paper examines the impact of ICT on the working conditions, stress and psychological distress experienced by lawyers, based on a qualitative study. Twenty-two (22) interviews were conducted with the aim of gaining a deep understanding of this issue. A thematic content analysis of the interviews revealed that factors related to ICT appear to contribute to the overall stress (technostress and other stress) experienced by lawyers, in turn leading to psychological distress. Moreover, the growing permeability between the different spheres of life caused by ICT and their particular characteristics has increased the workload of lawyers and accelerated their pace of work. Participants also identified frequent technological problems, as well as clients’ misinformation on the Internet, as risk factors.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.011 | 0.002 |
| 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 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".