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Record W4404204882 · doi:10.5539/jpl.v17n4p38

Women’s Dilemma and Social Reflection in Film Narrative: A Case Study of Kim Ji-young, Born 1982

2024· article· en· W4404204882 on OpenAlexvenueno aff
Yunning Wang

Bibliographic record

VenueJournal of Politics and Law · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDilemmaNarrativeReflection (computer programming)SociologyGender studiesHistoryPsychologyArtLiteraturePhilosophyEpistemologyComputer science

Abstract

fetched live from OpenAlex

Kim Ji-young, Born 1982 portrays the life experiences of an ordinary woman navigating family, work, and society, exposing the patriarchal structures, female discipline, and reproductive oppression in South Korean society. Adapted from Cho Nam-joo’s novel, the film recounts Ji-young’s struggles in childhood and marriage, along with the mental distress caused by the pressures of balancing career and family. It powerfully illustrates how societal expectations lead women to lose their sense of self, highlighting the exploitation of emotional labor and unpaid housework. Ji-young’s story transcends individual experience, reflecting the broader structural gender inequality embedded in society. Upon release, the film sparked intense social debate, particularly from South Korean men, some of whom petitioned the Blue House to block the screening, accusing it of fueling gender conflict. This opposition reveals the patriarchal structure’s defensive response to challenges and men’s anxiety over losing status and privilege. This paper explores how government pro-natalist policies, under the guise of preserving family structures, further entrench the oppression of women’s reproductive and labor value.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.019
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0190.009
Scholarly communication0.0060.005
Open science0.0020.005
Research integrity0.0040.005
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 head0.030
GPT teacher head0.357
Teacher spread0.327 · 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
Published2024
Admission routes1
Has abstractyes

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