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Record W4408381135 · doi:10.1111/ciso.70000

(Un)settling Ears

2025· article· en· W4408381135 on OpenAlexaboutno aff
Yun Emily Wang

Bibliographic record

VenueCity & Society · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsnot available
Fundersnot available
KeywordsSettlingArtEnvironmental scienceEnvironmental engineering

Abstract

fetched live from OpenAlex

ABSTRACT This short‐form ethnographic sketch juxtaposes the narratives of sound, listening, and the idea of “home” from two Taiwanese “astronaut wives” who had immigrated to Toronto. Both women's daily lives were suffused with the absences of their husbands (remaining in Asia to earn money) and adult children, and both regularly shuttled trans‐pacifically, and so had never fully emplace. I show their contrasting accounts of how drastically different sounds constitute Toronto for each of them, in relation to their respective sonic Taipeis. In tracing their differently (un)settling ears that destabilized both cities, I also show how such unsettlement gave them language to articulate otherwise unspeakable alienations in their seemingly heteronormative and privileged lives. In contrast to the Sound Studies' overwhelming tendency to understand listening as emplacement, by overdubbing these two narratives, I show aural ways of being that are marked by disorientations and suspension between places.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.693
Threshold uncertainty score0.609

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 studies0.0010.000
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 head0.019
GPT teacher head0.319
Teacher spread0.300 · 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 designNot applicable
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 routes1
Has abstractyes

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