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Record W312084400 · doi:10.15173/mjc.v4i0.235

‘To Sir with Love’: A Critical Analysis of the Transnational Community Communicated through the Mail-Order Bride Industry

2007· article· en· W312084400 on OpenAlexaffvenue
Gillian Brooks

Bibliographic record

VenueThe McMaster Journal of Communication · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBrideMail orderOrder (exchange)AdvertisingSociologyBusinessArtArt history

Abstract

fetched live from OpenAlex

The clichéd notion that the United States of America is the power of authority has long been criticized by theorists. However, in such critical analyses, the gendered authority exerted by America is rarely discussed. The patriarchal presence that is continuously encouraged in mainstream culture can be traced to the center of this power of authority. This paper intends to examine how such an emphasis on American power was created and how this image is being communicated to the international community through the lucrative mail-order bride industry. In particular, this paper will analyze how the mail-order bride trade sets to profit from the Third World woman's culturally imperialistic vision of America while catering to the needs of the patriarchal First World male. In examining the mail-order bride industry's reliance on the theme of nostalgia, it will be shown that a profitable market has emerged as a result of catering to a culture that prioritizes the patriarchal male individual, rather than those deemed as minorities in today's western society.

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)0.006
metaresearch head score (Gemma)0.013
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 score0.022
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.002
Science and technology studies0.0220.030
Scholarly communication0.0130.010
Open science0.0010.006
Research integrity0.0040.006
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 head0.065
GPT teacher head0.363
Teacher spread0.298 · 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
Published2007
Admission routes2
Has abstractyes

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