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Record W4295639758 · doi:10.25236/ajhss.2021.041207

A Study on the Metaphors of Chinatown in The Concubine’s Children

2021· article· en· W4295639758 on OpenAlexaboutno aff

Bibliographic record

VenueAcademic Journal of Humanities & Social Sciences · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsChinatownCouragePrideHistoryAdmirationImmigrationChinese americansWitnessCoffinLiteratureGender studiesAestheticsArtSociologyLawPolitical science

Abstract

fetched live from OpenAlex

The literary background of Denise Chong’s novel The Concubine’s Children mainly sets in Chinatowns in Canada, where Chinese immigrants struggled for a living, strived for their dreams, and preserved their “portable root”, in second half of the nineteenth century. By narrating the real family stories and representing living conditions of her former generations in Chinatown, Denise Chong expressed her admiration and pride to them, and even stood in awe of them. Chinatown in Canada, once was the enclave for the early Chinese-Canadians who were isolated from the social mainstream, political and cultural life. It is not only a witness of the history of Chinese-Canadians and a spiritual home, but also a muse who gives inspiration to the creation of Canadian-Chinese literature. By analyzing the metaphorical figures of Chinatown--Utopia, transplanted tree, and invisible dome, the essay probes into the implications and significance of Chinatown, its multifaceted images being unveiled. Meanwhile, courage, tolerance and persistence in Chinese immigrants are revealed.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.712

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0200.025
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.078
GPT teacher head0.358
Teacher spread0.281 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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