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Record W3189069010 · doi:10.30915/abd.978708

Hukuka Aykırı Delillerin Disiplin Soruşturmasında Kullanılması Sorunu

2021· article· tr· W3189069010 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnkara Barosu Dergisi · 2021
Typearticle
Languagetr
FieldSocial Sciences
TopicLegal Issues in Turkey
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsPhilosophyTheology

Abstract

fetched live from OpenAlex

Ceza veya disiplin soruşturmasında maddi gerçeğin ortaya çıkarılması ancak hukuka uygun yöntemlerle elde edilmiş delillerle mümkündür. Maddi gerçeğin ortaya çıkarılması gerekçesiyle de olsa hukuka aykırı delillere dayanılamaz. Burada Anayasa’dan ve evrensel hukuk ilkelerinden kaynağını alan mutlak bir yasak vardır. Dolayısıyla somut olayın özellikleri, kamu yararının gerektirmesi gibi soyut ve içeriği kötüye kullanılabilecek, keyfi yorumlanabilecek gerekçelerle hukuka aykırı elde edilmiş delillerin disiplin soruşturmasında kullanılmasına istisna tanınması mümkün değildir. Ayrıca hukuk devleti ilkesinin ve adil yargılanma hakkının bir gereği olarak devletin kendisi hukuka aykırı delil elde etmesi söz konusu olmadığı gibi herhangi bir şekilde elde edilmiş hukuka aykırı delilleri meşrulaştırma veya yargısal sürece dahil etmesi de mümkün değildir.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.681
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.006

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 head0.020
GPT teacher head0.316
Teacher spread0.296 · 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