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Record W3165570087 · doi:10.26389/ajsrp.f031119

نظام المناطق السعودي في ميزان الإدارة المحلية

2020· article· en· W3165570087 on OpenAlexaff

Bibliographic record

Venueمجلة العلوم الإقتصادية و الإدارية و القانونية · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsImmunoPrecise (Canada)
Fundersnot available
KeywordsLegislatorPublic administrationZoningIndependence (probability theory)Political sciencePopulationAdministration (probate law)DemocracyBalance (ability)LawSociologyLegislationPsychology

Abstract

fetched live from OpenAlex

هدف البحث إلى رصد نشأة وتطور المناطق كمستوى أول في نظام الإدارة المحلية السعودي، ودراسة تقسيمها الحالي، والتأكد من فاعلية اختصاصات مجالسها ومدى ديمقراطية تشكيلها. واعتمدت هذه الدراسة على المنهج الوصفي التحليلي، لتحليل ماضي وحاضر المناطق ومجالسها، وتوصيف إشكاليات نظامها، وتحديد الإصلاحات اللازمة لتطوير هذا النظام وتحسينه. النتائج: لم يمنح المشرع السعودي المناطق ومجالسها الشخصية الاعتبارية، كما أن تقسيم المناطق الحالي - حجمًا وسكانًا - لا يتوافق مع الكفاءة الإدارية، واختيار جميع أعضاء مجلس المنطقة بالتعيين أضعف المشاركة الشعبية. التوصيات: منح المناطق ومجالسها الشخصية الاعتبارية، ومنحها الاستقلال المالي، وإعادة تنظيم تقسيم المناطق، واختيار جزء من أعضاء مجلس المناطق بالانتخابات الفرعية، وتفعيل اختصاصات مجالس المناطق.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.692
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.011

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 head0.072
GPT teacher head0.322
Teacher spread0.250 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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