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Record W2790579332 · doi:10.5539/jms.v8n1p104

Evaluation of Regional Development Policies in Turkey’s Five Years Development Plans

2018· article· en· W2790579332 on OpenAlexvenueno aff
Yaşar Akça

Bibliographic record

VenueJournal of Management and Sustainability · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Administration and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsTurkishEconomic growthChristian ministryNatural resourceRural developmentBusinessEnvironmental planningRural areaRegional developmentStandard of livingRegional scienceGeographyPolitical scienceEconomicsAgriculture

Abstract

fetched live from OpenAlex

Five years development plans are prepared by State Planning Organization (former name), Ministry of Development. Development Plans are significant policy documents including information about resources of development goals in long term and related regulations to be made in Turkey. Ten different development plans including the years between 1963 and 2018 were prepared. The common basic goal of these plans is: Ensuring a fortunate and prosperous life for Turkish citizens, raising life standards to higher levels. Reaching more prosperous life standards is possible through a long term and systematic development effort. Regions including cities (except metropolis), districts and villages are called rural areas. Efforts for increasing the economic level of people living in rural areas by using and supporting natural resources in these areas are named regional development policies. Regional development policies are firstly determined and shaped in development plans. Economic activities in rural areas are mostly based on natural production resources. Regional development is only possible through efficient use of these local resources. The basic goal is to decrease the difference in the level of economic, social and cultural development between development priority regions and the others. The goal of this study is to present the preparations that should be made and focus on present and future problems. Qualitative design document analysis technique is used in this research; local development policies that are mentioned in ten development plans are analyzed. Findings, results and suggestions are presented at the end of the study.

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)0.015
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.032
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.039
GPT teacher head0.353
Teacher spread0.314 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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