NETOCRATISATION OF PUBLIC ADMINISTRATION: INFORMATION SOCIETY TRENDS
Bibliographic record
Abstract
The article examines the phenomenon of netocracy as a new model of publicadministration organization in the context of the emergence of an information society.Netocracy is considered not simply as a consequence of digitalization, but as aqualitatively new logic of power based on network interaction, strategic communications,information flows, and reputational capital.The study analyzes key trends that contribute to the outlined transformation: thegrowth of the role of digital elites, algorithmization of management, participation,crowdsourcing, digital activism, and rethinking legitimacy in the digital age. Particularattention is paid to the transformation of the institutional architecture of publicadministration (from a centralized bureaucratic model to a dynamic network ecosystemin which the state acts not as a controller, but as a facilitator and moderator of publicinteraction).Key challenges and risks in public administration related to netocracy areidentified: the crisis of legitimacy of traditional institutions, dependence on global ITstructures, digital inequality, threats of fragmentation of public space and algorithmicpopulism. The need to form new legal, ethical and managerial mechanisms capable ofensuring a balance between technological innovation and democratic accountability isemphasized.The positive impact of netocracy is emphasized, which consists in forming uniqueopportunities – not only to adapt to the digital age, but also to become an example ofmodern, open and sustainable network governance. References1. Eesti.ee. 2022. Retrieved from http://www.eesti.ee/et/ [in Estonian].2. UN study. Electronic government 2022. The future of digital government. Retrievedfrom https://desapublications.un.org/sites/default/files/publications/2023-02/UN%20E-Government%20Survey%202022%20-%20Russian%20Web%20Version.pdf [in Ukrainian].3. Infocomms & Technology. 2022. Retrieved from https://www.gov.sg/infocommsand-technology [in English].4. Secretariat, T.B.O.C. Way Forward. Canada.ca. Retrieved fromhttps://www.canada.ca/en/government/system/digital-government/digitalgovernmentstrategy/way-forward.html [in English].5. Verkhovna Rada of Ukraine. Official web portal. Retrieved fromhttp://w1.c1.rada.gov.ua/pls/radan_gs09/ns_golos?g_id=22425 [in Ukrainian].6. Storozhenko, L. G. (2023). Netokratychni pidkhody v publichnomu upravlinni:svitovyy dosvid zastosuvannya [Netocratic approaches in public administration:world experience of application]. Naukovi perspektyvy – Scientific Perspectives,5(35), 275–287 [in Ukrainian].7. Diia. Retrieved from https://diia.gov.ua [in Ukrainian].
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.004 | 0.015 |
| Scholarly communication | 0.013 | 0.020 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".