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Record W3111482798 · doi:10.3138/cjfs-2020-0032

Le cinéma turc à l’épreuve de l’immigration : l’espace filmique comme porte-parole de la culture

2020· article· en· W3111482798 on OpenAlexvenueno aff
Ayşe Toy Par, Gülsenem Gün

Bibliographic record

VenueCanadian Journal of Film Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsnot available
Fundersnot available
KeywordsInterculturalityMovie theaterTurkishHumanitiesSociologyMulticulturalismArtEmigrationGender studiesEthnologyAestheticsArt historyPolitical sciencePhilosophyLawLinguistics

Abstract

fetched live from OpenAlex

The aim of this article is to analyze the interculturality of filmic spaces in films dealing with the emigration of Turks to Europe and particularly to Germany. In this perspective, we will first study the claustrophobic aspect of the spaces preventing the development of cultural relations in first-generation films. Starting from the use of space, we will then analyze the relations that exist between the way in which the Turkish immigrant woman, under the domination of patriarchal customs, is cut off from the new culture and the way in which she becomes a “victim” of it. We will also deal with criticisms of these forms of representation. On the other hand, we will see the transformation of these spaces in the cinema of new generations of multicultural filmmakers, the use of places and non-places, their characteristics through the notions of interculturality and multiculturality.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0050.004
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.064
GPT teacher head0.331
Teacher spread0.267 · 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 designQualitative
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

Citations0
Published2020
Admission routes1
Has abstractyes

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