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Record W2788198690 · doi:10.5539/jpl.v11n1p88

Regulatory Impact Assessment Role in Developing Participatory Work between Civil Society Organizations and Jordanian Ministry of Political and Parliamentary Affairs

2018· article· en· W2788198690 on OpenAlexvenueno aff
Amani Jarrar

Bibliographic record

VenueJournal of Politics and Law · 2018
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsCivil societyPublic administrationPoliticsWork (physics)LegislationEnforcementCitizen journalismPolitical scienceChristian ministryLawEngineering

Abstract

fetched live from OpenAlex

The study points out the role of regulatory assessment in developing participatory work in Jordan focusing on both civil society organizations and Ministry of Political & Parliamentary Affairs. Jordan, nowadays ,has a rapidly evolving policy and regulatory environment. The problem that is rooted in our societies and national institutions manifests in the absence or lack of coordination in order to achieve the desired results that are planned to reach, namely the efficiency and effectiveness of the institutional performance of all sectors, especially the development sectors. The study poses the questions dealing with empowering a decentralized RIA System in Jordan, mainly: Determining the policies to be achieved to solve the problem, identifying the problems to be treated, determining the appropriate option for policy enforcement, determining the type of legislation required, determining who is responsible for preparing these legislations, and identifying the necessary legal and administrative mechanisms required. The research used the descriptive analytical, methodology. The study proposes an institutional mechanism of the (RIA) in Jordan.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.270

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.058
GPT teacher head0.382
Teacher spread0.324 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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