Integrating information technology into public administration: Conceptual and practical considerations
Bibliographic record
Abstract
Abstract: Both theorists and practitioners of public administration continue to debate the extent to which public institutions and organizations are likely to be transformed by the burgeoning adoption of information technology (it). Among those who believe that there will be a substantial, even a revolutionary, transformation, are scholars who emphasize the concept and impact of “informatization.” This article focuses on the implications for public administration of the public sector's increasing reliance on it. It is argued that it, like information itself, is a vital resource for achieving organizational objectives. The use of it by public organizations predisposes them to change in particular ways. As a resource, it has inherent predispositions (e.g., requiring certain skills and investments) that lead to changes in organizational structures and management (e.g., increased dependence on the private sector). Overcoming obstacles to the potentially powerful impact of these it predispositions will require both short‐term reforms (e.g., improved partnering skills) and longer‐term reforms (e.g., changes in organizational culture). Sommaire: Les théoriciens comme les praticiens de l'administration publique continuent à débattre sur la question de savoir dans quelle rnesure les établissements et organisrnes publics risquent d'être transformés par I'adoption croissante de la Technologie de I'inforrnation (ti). Parmi ceux qui croient que l'on va assister à une transformation importante, voire même révolutionnaire, il y a les chercheurs qui soulignent le concept et I'impact de « l'informatisation)>. Le présent article se concentre sur les répercussions que la dépendance croissante du secteur public à l'égard de la ti aura sur I'administration publique. On argumente que la ti, tout come I'information elle‐même, est une ressource essentielle pour atteindre les objectifs organisationnels. Le recours à la ti prédispose a des changement particuliers les organismes publics en question. En tant que ressource, la ti comporte des prédispositions inhérentes (p. ex., exigence de certaines compétences et certains investissements) qui conduisent à des changements dans les structures et la gestion organisationnelles (p. ex., une dépendance accrue à l'égard du secteur privé). Pour surmonter les obstacles à I'impact potentiellement puissant dc ces prédispositions de la ti, il faudra entreprendre des réformes à court terme (p. ex., améliorer les compétences en partenariat) et des réformes à long terme (p. ex., apporter des changements à la culture organisationnelle).
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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 | 0.025 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.012 | 0.057 |
| Scholarly communication | 0.037 | 0.043 |
| Open science | 0.005 | 0.011 |
| Research integrity | 0.016 | 0.013 |
| Insufficient payload (model declined to judge) | 0.009 | 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".