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Record W2605785750 · doi:10.5539/res.v9n2p170

Bureaucratic Behavior towards Public Management: The Study of Health Services Free in South Sulawesi Province, Indonesia

2017· article· en· W2605785750 on OpenAlexvenueno aff
Jamaluddin Ahmad, ‎ Erfina

Bibliographic record

VenueReview of European Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsnot available
Fundersnot available
KeywordsBureaucracyDocumentationGovernment (linguistics)Public sectorPublic administrationNew public managementPublic healthBusinessPublic relationsPolitical scienceMedicineNursingLawPolitics

Abstract

fetched live from OpenAlex

Public services in Indonesia in the health sector has not been optimal characterized by complexity of the procedures that experienced, public complaints are still high, and the cost of services is less transparent. The government through bureaucratic reform 2010-2025 Grand Design have established guidelines for the implementation of public services to the world-class public management. The ultimate goal is to improve public services is good and right, improve the quality of policy-making and decision-making, to prevent misuse of authority, and improve resource efficiency. Type of bureaucratic behavior will determine the achievement of bureaucratic reform. Facts and data showing through phenomenology. The data collected with in-depth interviews, observation, and documentation on health services in South Sulawesi indicates that the type of behavior of the bureaucracy in order to realize the reform of the bureaucracy is still in the category of politicians from the four types discussed include the type of employee career, type of politician, professional type, and the type of missionary.

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 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)0.007
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 score0.669
Threshold uncertainty score0.684

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.179
GPT teacher head0.465
Teacher spread0.286 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2017
Admission routes1
Has abstractyes

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