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Record W2603760561 · doi:10.5539/ies.v10n4p1

Issues in Implementation of Coeducation in Turkish Education System: A Historical Research on 1869 Statute on General Education

2017· article· en· W2603760561 on OpenAlexvenueno aff
S. Tunay Kamer

Bibliographic record

VenueInternational Education Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicOttoman Empire History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsStatutePashaTurkishModernization theoryEmpireLawOttoman empireState (computer science)Political scienceSociologyPublic administrationHistoryAncient historyPhilosophy

Abstract

fetched live from OpenAlex

Though the Imperial Edict of Gülhane, which is regarded as the real beginning of modernization in the Ottoman Empire, does not contain any direct article on education, Tanzimat (Reorganization of the Ottoman Empire) and the process following it directly affected the education system in the country. The boards formed and the regulations issued in that period were of great importance. Maarif-i Umumiye Nizamnamesi (Statute on General Education) prepared by 7-person committee led by the Minister of Education Saffet Pasha under the influence of the French education system and published on the 1st of September 1869 is a comprehensive text regulating education. This statute, which consists of 198 articles, involves teacher training and placement, determination of school stages, principles about inspection and assessment, educational administration, right to education, training allowances, provincial organization, testing system, and so on. Coeducation was not a problem in the Ottoman Empire because girls were allowed to receive only primary education. With the 15th article of the Statute on General Education, coeducation was prohibited. However, some documents in the state archives prove that some schools and practices disobeyed this ban. That indicates that not every law introduced was enforced across the country. This may have been because decisions were implemented differently in different cities or regions due to the non-equality of conditions.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.404
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.258
GPT teacher head0.609
Teacher spread0.351 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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