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Record W4285043784 · doi:10.22215/etd/2022-15069

Offerings and Inheritances: Reconstructing Family Altars for Queer Vietnamese Kin

2022· dissertation· en· W4285043784 on OpenAlexaboutno aff
Cong Nguyen

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQueerAltarHomelandDiasporaVietnameseGender studiesIdentity (music)AncestorVenerationAestheticsHeteronormativitySociologyGenealogyHistoryGeographyArtPolitical scienceAncient historyPoliticsArchaeologyPhilosophyLaw

Abstract

fetched live from OpenAlex

My architectural thesis explores the spatial incongruencies of queer, Vietnamese, and diasporic communities living in Canada by reconstructing new ancestral altar practices. Since the influence of patrilineal Confucian ideologies, domestic altars (bàn thờ) have been created to practice ancestor veneration within Vietnamese households across the homeland and the diaspora. However, queer and trans Vietnamese youth are often excluded and displaced from the patriarchal home, as it is assumed that embracing queer identity is an act of dishonouring tradition and lineage. To seek wholeness among displaced familial, sexual and racial identities, I offer this spatial exploration to reconstruct and reimagine queer altar practices. I investigate multiple "sites of exchange" through the design of three altars for three scales of intimacies: bodies, streets and clubs. Through this process, I invite designers and architects to engage in new practices of belonging for our ancestors, kin, and our multi-adjectival selves.

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 score0.099
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.026
GPT teacher head0.324
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
Published2022
Admission routes1
Has abstractyes

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