Accepting invisibility? Experiences of exclusion in Grace Lau’s poetry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In her poetry collection The Language We Were Never Taught to Speak (2021), Grace Lau, a Hong Kong-born Chinese Canadian poet, showcases different experiences of exclusion and inclusion, some connected to the long history of prejudice and discrimination. The aim of this article is to discuss depictions of three types of exclusion experienced by Lau – that of a postcolonial subject, a queer subject, and, finally, a queer subject of colour – and the impact those experiences have on her identity. The analysis of three of Lau’s poems – "Birth/Right”, “Another God”, and “Perfect Groupie” – provides an insight into her reflections on different instances of exclusion she experienced, whether motivated by her ethnicity and nationality, her sexual orientation, or the combination of both, and the impact they had on her identity as a queer postcolonial subject.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it