Integrity as a principle of public service: a conceptual and legal analysis
Bibliographic record
Abstract
The article examines the problem of integrity as a fundamental principle of public service in Ukraine. The authors note that amid contemporary transformations and European integration aspirations, integrity extends beyond purely legal norms and becomes the foundation for transparent and accountable public administration. The purpose of the study is to provide a comprehensive analysis of integrity as an ethical and legal principle, and to substantiate ways for its improvement, taking into account international experience. The main body of the article reveals the multifaceted nature of the concept of «integrity,» which includes not only compliance with legislation but also internal moral convictions and a responsible attitude toward official duties. At the regulatory level, the principle of integrity is enshrined in the Laws of Ukraine «On Public Service» and «On Prevention of Corruption.» Detailed rules of conduct are set forth in the General Rules of Ethical Conduct for Public Servants, which emphasize impartiality, avoidance of conflicts of interest, and the prohibition of using one’s official position for personal gain. Departmental codes of ethics, such as the Code of the Ministry of Finance, further elaborate on this principle. By analyzing international experience, the authors refer to the practices of Canada, France, and the Netherlands. These countries have specialized institutions (e.g., the Ethics Commissioner and the High Authority for the Transparency of Public Life) that ensure compliance with ethical norms and conduct investigations. Based on this experience, as well as proposals from Ukrainian scholars, the authors propose specific measures for Ukraine. These include: the introduction of ethics commissioners in government bodies; the definition of integrity as a separate legal category; the harmonization of ethical norms across various regulatory acts; and the implementation of mandatory ethics courses and interactive programs for public servants. In the conclusions, the authors summarize that integrity is a key, multifaceted principle of modern public service, combining legal and ethical aspects. They argue that despite legislative achievements, there are gaps that require a comprehensive approach to overcome, including legislative changes, institutional support, and the development of a professional culture.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.010 | 0.044 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".