Queer Affect, Childhood, and Modalities of Sound in Hong Khaou’s <i>Lilting</i>
Bibliographic record
Abstract
This article examines Hong Khaou’s film Lilting (2014) in an effort to discuss and describe the expressive modality of sound within the context of grief, diasporic parent and child relations, and Asian unassimilability. The film explores the aftermath of an untimely death: Junn, one of its central characters, is grieving the loss of her only child, while her deceased son’s partner is grieving the loss of his lover. Queer diasporic childhood and its affective dynamics take centre stage in the film. The characters are frustrated by seemingly insurmountable cultural differences, but psychic relief is developed through the sounds of shared grief, queer affect, and the eventual integration of these frustrations. By theorizing frustration and the haptic registers of sound, this article claims that sound can represent healing across differences. In this way, Lilting posits a theory of the reparative work of sound that defies semantic knowledge and returns us to the sonic substance of relationality.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".