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Record W2689066112 · doi:10.1177/1746847716686550

The Translocalized McDull Series: National Identity and the Politics of Powerlessness

2017· article· en· W2689066112 on OpenAlexfundno aff
Hang Wu

Bibliographic record

VenueAnimation · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsnot available
FundersMcGill University
KeywordsMainland ChinaPoliticsChinaIdentity (music)Power (physics)Media studiesIdeologyGender studiesArticulation (sociology)Symbol (formal)SociologyScholarshipPolitical scienceAestheticsArtLawLinguistics

Abstract

fetched live from OpenAlex

The animated film Me & My Mum was released in mainland China and Hong Kong in 2014 and proved to be a huge box office hit, cashing in on the existing McDull animated films that are hailed as the best animations in Hong Kong. Previous scholarship suggests that the McDull animated film series is a symbol of Hong Kong local culture; it serves as a repository of the changing landscapes of Hong Kong and demonstrates hybrid identities. However, this article argues that the McDull animated film series is more translocal than local, a fact which reveals the dynamics of the Hong Kong–mainland China relationship after Hong Kong’s return to Chinese sovereignty in 1997. The translocalized McDull series demonstrates an obsession with Chineseness which helps to evoke the national identity. By aestheticizing powerlessness as cuteness through anthropomorphic animals, the McDull series used to be highly political; they grappled with the wounds of society in Hong Kong. However, the articulation of a well-rounded McDull in the translocalized film Me & My Mum indicates that it is conforming to the Chinese Communist Party’s ideology of ideal children while the political power of aestheticizing powerlessness is repressed, revealing the dominant power of the Chinese film market.

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)0.001
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 score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.013
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.033
GPT teacher head0.353
Teacher spread0.320 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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