IMPROVING THE EFFICIENCY OF CANADA’S PUBLIC SERVICE
Bibliographic record
Abstract
Improving the efficiency of public service is an important area for overcoming the crisis in relations between the state, society and a citizen. Modernization of civil service of Canada is carried out in a number of ways. Changes were made in a recruitment order for civil service by means of expansion of the powers of persons competent to solve these issues in ministries and government departments. One of the directions for improving the quality of the civil service was an increase in the level of training of public servants. Coordination of the educational process in various government departments is carried out by the Canadian School of Public Service. The system of human resources planning has been introduced. The quality of public services provided is improved with help of timely providing them in compliance with all requirements of a particular government department, and taking into account the rights of citizens by achieving a balance between the services provided and the money spent for this purpose and regular monitoring and evaluation of the dynamics of the providing process of services. One of the areas of modernization of the public service is the introduction of strict control over of public servants’ ethical standards. Actions that lead to a conflict of interest are legislatively prohibited. Strict bans in Canada are implied regarding the employment of persons who replace public office after the end of their career. As a result of the measures taken to fight corruption, including a sphere that is largely susceptible to corruption risks, Canada is among top ten countries with the least corruption. Achievement of positive results in the activities of civil servants became possible due to the state’s special attention to the issues of its modernization.
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.
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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".