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Record W2809785174 · doi:10.31122/sinefilozofi.421771

Filmlerle Hatırlamak: Toplumsal Travmaların Sinemada Temsil Edilişi – Sevcan Sönmez - İnceleyen: Batu Anadolu

2018· article· tr· W2809785174 on OpenAlexaboutno aff
Batu ANADOLU

Bibliographic record

VenueSineFilozofi · 2018
Typearticle
Languagetr
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Sevcan Sönmez’in Metis Yayınları’ndan çıkan “Filmlerle Hatırlamak: Toplumsal Travmaların Sinemada Temsil Edilişi” isimli kitabı, yukarıda bahsi geçen sorunun Türkiye sinemasını kapsamında sorulmasını sağlar. Kitabın temeli, yazarın “Sinema ve Toplumsal Bellek: Türkiye Sinemasında Travmatik Temsiller” başlıklı doktora tezine dayanır. Tezin kısaltılmış ve derlenmiş bir versiyonu olarak karşımıza çıkan kitapta özellikle 1990 sonrası yeni bir döneme girdiği çeşitli kaynaklarda ifade edilen Türkiye Sineması’nda – Yeni Dönem Türkiye Sineması olarak da adlandırılabilir- tarihsel olayların ve bu olayların ortaya çıkardığı travmaların nasıl işlendiği incelenir.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.329
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.019
GPT teacher head0.297
Teacher spread0.279 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2018
Admission routes1
Has abstractyes

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