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Record W4323356821 · doi:10.1386/eapc_00091_1

Yingling and women imagery in contemporary Taiwanese media culture: The Tag-Along film series as an example

2023· article· en· W4323356821 on OpenAlexaff
Grace Lin

Bibliographic record

VenueEast Asian Journal of Popular Culture · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsJohn Abbott College
Fundersnot available
KeywordsIrrationalityFolkloreAgency (philosophy)SociologyGender studiesMeaning (existential)AestheticsHistoryLiteratureArtAnthropologySocial scienceEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

With the assistance of textual analysis, this article examines the images of yingling (spirits of aborted or miscarried foetuses) in The Tag-Along and The Tag-Along 2 . This popular cinematic demonology searches for a Taiwanese identity through urban legends and folklore. In the films, yingling are imagined as pitiful and malevolent. The spiritual being has desires, emotions and agency. This feto-centric imagination echoes the religious discourses that frame the newly popularized abortion ritual in Taiwan. Women are depicted as determined, independent and mutually supportive. However, the essentialist sexual differences remain highlighted, meaning that they are portrayed as mothers, and their bodies are represented through polluting blood, a signifier of excessive yin that serves the patrilineal needs of reproduction. During the process of modernization, Taiwanese society experienced drastic changes, yet, the ghost, as the persistent past, continues to impact the present. Through the investigation of irrationality, the reality surrounding women and children is revisited and debated.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.206
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.297
Teacher spread0.250 · 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.

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
Published2023
Admission routes1
Has abstractyes

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