OFFERING SERVICES BASED ON DATA WAREHOUSE AS A NEW TREND IN THE WORK OF PUBLIC ADMINISTRATION
Bibliographic record
Abstract
<p>The subject of the research is the analysis of services that should be offered by public administration toward legal entities and natural persons. We will suggest that it uses real-time intelligent IT systems based on data storage based on the data warehouse. Our opinion is that such systems implemented in the public administration of Bosnia and Herzegovina could offer an appropriate service to each user at a time when they need the service in a form that suits them, on the spot where he is in the moment of delivery and in the quantity that he needs. In order for a public administration to be able to offer an appropriate service, it must know its users much better and know which service they need at what time. In this paper, we analyze self-service as well as the necessary activities for all that. These are all activities that should be carried out in the future, and this work could contribute to the implementation of these processes.</p>
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How this classification was reachedexpand
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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".