MétaCan
Menu
Back to cohort
Record W2115577710 · doi:10.5539/ass.v10n14p114

A Study of I Saw the Sun Directed by Mahsun KirmizigÜL. To Be at Home or Not to Be at Home!

2014· article· en· W2115577710 on OpenAlexvenueno aff
Abdol Hossein Joodaki, Asrin Vajdi

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsnot available
Fundersnot available
KeywordsUncannyIdentity (music)HomelandSociologySubjectivityCharacter (mathematics)AestheticsReading (process)Gender studiesPopular cultureMedia studiesArtPoliticsLawPolitical scienceEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Uprooted from their homelands, Kurds are in the predicament of living in an unhomely world which doesn't offer any reflection of their subjectivity and identity. This study tries to examine the movie, I Saw the Sun, directed by Mahsun Kirmizigül which tells the story of a Kurdish family forced to leave its homeland. The main purpose is to represent the psychological and social effects of unhomeliness on movie's characters and to delve into uncanny nature of movie's characterization, Kadri. It has been tried to challenge the fixed notion of identity and undervalue the binary oppositions which are the basis of the cultural thinking. In this gender-biased Kurdish community, people like Kadri are doomed to violence and death and the study's main focus is on this character's evolution from a naïve outcast into a mature outcast. The study based on Homi K. Bhabha's concepts, uncanny and unhomely offers a new reading of a post-colonial situation in which physically and psychologically unhomed characters live in an incredulous terror and are denied any sense of individuality and identity.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.004
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.032
GPT teacher head0.334
Teacher spread0.302 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueAsian Social ScienceSame topicTurkey's Politics and SocietyFrench-language works237,207