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Record W2222159474 · doi:10.1501/vetfak_0000002650

Osmanlı Devleti’nde sivil veteriner hekimliğine yönelik ilk mevzuat düzenlemeleri

2015· article· tr· W2222159474 on OpenAlexaboutno aff
MELİKOĞLU GÖLCÜ, Berfin ÖZGÜR, Atilla Atilla

Bibliographic record

VenueAnkara Üniversitesi Veteriner Fakültesi Dergisi · 2015
Typearticle
Languagetr
FieldArts and Humanities
TopicOttoman and Turkish Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVeterinary medicineEnforcementState (computer science)Political sciencePopulationQuarter (Canadian coin)MedicineLawPublic administrationGeographyEnvironmental health

Abstract

fetched live from OpenAlex

In Turkey, civil veterinary education was started in 1871 at the Military Academy and continued with the foundation of the first Civil Veterinary School in 1889. As from the last quarter of the nineteenth century, various legal arrangements were made to regulate the veterinary services conducted for the civil population. Through the enforcement of the first legal arrangements on the employment of civil veterinarians in Turkey, a major step was taken in the development of the veterinary profession and the fight against contagious animal diseases in the country. This study is aimed at assessing the legal arrangements made for the delivery of civil veterinary services in the Ottoman State, in light of newly acquired information, and thus, at contributing to the history of veterinary medicine

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.088
GPT teacher head0.250
Teacher spread0.161 · 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 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

Citations8
Published2015
Admission routes1
Has abstractyes

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