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Public services in different countries of the world: a comparative analysis

2023· article· en· W4366963047 on OpenAlex
R. Kadyrova, A. Kantarbayeva

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueECONOMIC Series of the Bulletin of the L N Gumilyov ENU · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsnot available
Fundersnot available
KeywordsBenchmarkingGovernment (linguistics)State (computer science)Public administrationPolitical scienceEconomic growthBusinessEconomicsMarketing

Abstract

fetched live from OpenAlex

The aim of this research is to study and compare public services in such countries of the world like England, USA, Singapore, South Korea, France, Germany, Canada, Finland, Russia. In this article, we have studied the state of public services in nine countries, which was made by the method of comparative analysis. In our benchmarking study, we used the 2020 United Nations Biennial Reviews, reports, regulations, and statistics. To study the state of public services in the countries we have identified, we used the following criteria for analysis: historical aspect, electronic services, legal norms, services in systems. We have analyzed and interpreted the historical process of creating public services and e-governments for each country; the historical developments of e-government for each country were explained; legal mechanisms in the analyzed countries are defined. The final part of the article presents some suggestions and recommendations for improving public services in the countries studied.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.040
GPT teacher head0.298
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it