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Record W4312208477 · doi:10.34069/ai/2022.57.09.22

The effect of international relations on democratization of Turkey between 2002-2010 during justice and development party rule

2022· article· en· W4312208477 on OpenAlexaff
Recep Bilgin, Seydali Ekici, Fatih Sezgin

Bibliographic record

VenueRevista Amazonia Investiga · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsGlenbow Museum
Fundersnot available
KeywordsDemocratizationConditionalityPolitical scienceStatus quoDemocracyState (computer science)Economic JusticePolitical economyDevelopment economicsEconomic systemPoliticsSociologyLawEconomics

Abstract

fetched live from OpenAlex

Democratization takes place under different conditions in every country. The social structure and that of state play important roles, and there are many other internal and external factors for this process. Turkey also went through different phases for democratization processes. This is a qualitative study and formed by reviewing related literature and evaluating. It focuses on external factors between 2002 and 2010 because there was a struggle and long-lasting conflicts between secular elites and conservative democrats during this time. With the help and encouragement of European Union (EU), Justice and Development Party governments were able to eliminate the status quo inherited from 1980 military coup. Although democratization of Turkey proceeded with the effect of many different factors, the effect of international relations in this era was priceless for the governments of that time. Especially Turkey’s candidate process to membership of EU enforced conditionality by these countries. Even more the ruling party consented to democratize. Under the control of them, Turkey made a relatively smooth transition to more democratic state.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.278
Teacher spread0.260 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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