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Record W2612167969

Theresa Cha’s Dictée as a Montage: A Visual Postcolonial-Feminist Transnational Reading

2017· article· en· W2612167969 on OpenAlexvenueno aff
Abeer Abdulaziz. AL-Sarrani, Saudi Arabia

Bibliographic record

VenuePostcolonial text · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)ColonialismClose readingLinguisticsSociologyHistoryLiteratureArtPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This essay argues that Theresa Hak Kyung Cha’s multi-fragmented text Dictee would be more accessible to readers on a transnational level and more easily psychologically identified with if approached as a postcolonial-feminist silent movie which portrays Korean women’s colonial experience. The cinematic techniques Cha uses in Dictee invite the reader to read/view it as a complete (un)fragmented feminist silent movie composed of pictures, photos, film shots, and scientific diagrams. The various structures, arrangements, and juxtapositions of a significant portion of the written text suggest that some pages can be considered independent graphical images. This essay also claims that the fragmented structure of Dictee , with its many photographs, diagrams, and multiple languages, intensifies readers’ psychological identification with the text. Dictee creates a reading experience in which the reader feels alienated, confused, and sometimes helpless, which is similar to the colonial experiences of Korean women. Thus, this essay presents an (un)fragmented visual reading of the text that allows readers to identify psychologically with Korean women’s colonial experience. Despite the many languages, genres, and many fragments, the visual reading of Dictee enables readers on a transnational level to link most of the fragmented pieces together, understand the text and psychologically identify with it.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.881
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.359
Teacher spread0.337 · 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 teacher head, not a consensus.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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