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Record W2232099277

Chinese Television as a Medium of National Interpellation

2010· dissertation· en· W2232099277 on OpenAlexaboutno aff
Yawei Cui

Bibliographic record

VenueTSpace (University of Toronto) · 2010
Typedissertation
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedia studiesAdvertisingPolitical scienceTelecommunicationsSociologyEngineeringBusiness
DOInot available

Abstract

fetched live from OpenAlex

This dissertation considers how the party-state of the People’s Republic of China has been mobilizing various forms of interpellation in an attempt to sustain a continuous imagination of a particular community defined on the terms of a shared “Chinese” national identity. As well, the research considers how these forms of interpellation have been challenged by a range of complex diasporic viewer responses. Taking media productions of the Mainland China television industry as my point of reference, I have studied in detail, multiple productions of the widely popular, complex program, the Spring Festival Gala (SFG) produced by China Central Television. Though not without its contradictions, this show has employed various interpellative strategies, persistently and continuously hailing viewers into the subject position of loyal members of an enduring “Chinese\nNationality.”\n However, interpellation is one thing, subjectification within it is another. To\nbetter grapple with the cultural citizenship of transnationalized Chinese, this dissertation also considers observations regarding the receptions of the SFG by diasporic “Chinese subjects” who now live in Canada. While their continuous imagining of the “Chinese Nationality” helps to better understand the complex mechanisms which contribute to the retaining power of interpellation, their moments of “de-imagining” also shed light on the problems and difficulties of such interpellation. These moments are considered as possible openings to the formation of fluid, multiple Chinese subjectivities that lay the groundwork for a “flexible citizenship” (Ong, 1993; 1999) for all “Chinese,” furthering the endeavor to go beyond certain nationalist and/or statist visions of identity, subjectivity, and citizenship.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.006
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.009
GPT teacher head0.310
Teacher spread0.300 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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