Schools of Government: a comparative study
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
The Schools of Government perform a central role to the public service of many countries. Despite being a disseminated and well-established phenomenon, the functions and even the concept of Schools of Government vary. Aiming to portray the functions and characteristics of Schools of Government around the world and offer a better understanding of them, this paper presents a comparative study of Schools of Government located across five continents. Based on purposive sampling, eight Schools of Government were selected to be part of this in depth study: École Nationale d'Administration, ENA – France; Canada School of Public Service, CSPS – Canada; Instituto Nacional de la Administración Pública, INAP – Argentina; Australia and New Zealand School of Government, ANZSOG – Australia and New Zealand; Civil Service College, CSC – Singapore; National School of Government, NSG – South Africa; Direcção Geral da Qualificação dos Trabalhadores em Funções Públicas, INA – Portugal; and Escuela Superior de Administración Pública, ESAP – Colombia. Data collection procedures included interviews and document analysis. Data was analyzed using content and comparative analysis. This study highlights some important dimensions of Schools of Government including the position within the government, funding, main activities, organizational structure and personnel. Other similarities (e.g. among members of Commonwealth) and possible common trends and innovation challenges are also discussed. Finally, we discuss the results comparing them to previous studies findings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it