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Record W4410788965 · doi:10.5539/ells.v15n2p49

Emotional Estrangement of Su-Jen’s Mother in Midnight at the Dragon Café

2025· article· en· W4410788965 on OpenAlexvenueaboutno aff
Xian Wu

Bibliographic record

VenueEnglish Language and Literature Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMidnightPsychologyHistoryPhysicsAstronomy

Abstract

fetched live from OpenAlex

Midnight at the Dragon Café, a novel by the esteemed Chinese-Canadian author Judy Fong Bates, portrays the experiences of three generations of Chinese immigrants in Canada through the perspective of Su-Jen. As members of a marginalized minority, they face both economic hardship and psychological struggles, further exacerbated by the constraints of a patriarchal society. These challenges foster a profound sense of alienation and estrangement, particularly for Su-Jen’s mother Lai-Jing, who not only endures systemic oppression from mainstream society but also experiences domestic pressures that contribute to her emotional detachment from others and herself. Erich Fromm’s theory of alienation, which explores human existential crises and psychological turmoil through the interplay of social structures, personal experiences, and psychological dynamics, provides a valuable framework for analyzing her estrangement. In light of the concepts of marginalization, loss of self authenticity and distorted relationships from this theory, this study seeks to uncover the underlying factors contributing to her disconnection from society, others and self. Through a hermeneutic textual analysis grounded in Fromm’s theory of alienation, this thesis aims to illuminate not only the roots and consequences of her emotional estrangement but also the broader struggles of women under patriarchal oppression and their ongoing pursuit of identity and self-authenticity.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.279
Threshold uncertainty score0.290

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.302
Teacher spread0.295 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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