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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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.213
Threshold uncertainty score0.712

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.004
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.2130.181

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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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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