The role of information and communication technologies on moral agents and governance in society
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
Purpose This paper aims to examine the role of information and communication technologies (ICT) on moral agents, and in turn, governance structures in western societies. Design/methodology/approach This conceptual paper takes a holistic approach to governance and recasts popular notions of e‐governance by answering fundamental questions about the potential roles of governance in individuals, communities, organizations, governments and society. Findings The authors argue that it is only when the context of the moral agent is fully understood that it is possible to begin to unravel whether ICT is likely to have beneficial or detrimental effects on fundamental governance goals. Research limitations/implications Future research into e‐governance topics would be well served by discussing the governance goal that ICT is designed to improve or enhance. Whether ICT can make aspects of e‐government quicker and faster is not in dispute; however, whether ICT will actually achieve deeper governance goals requires reframing research questions. Social implications When viewed as moral agents, individuals, communities, organizations, governments and societies can use governance goals to enhance both self‐actualization and social order in line with community values. Originality/value By recasting the question “What can ICT contribute to governance and government?” to “How will ICT affect governance?”, we move away from the presumption of a positive influence, and suggest that contributions to governance goals should guide our discussions surrounding ICT utility.
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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 | 0.000 | 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 | 0.000 |
| 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