Sisterhood and Solidarity: An Exploration of the Role of Women in the Development of Chinese-Indigenous Relations in Disappearing Moon Cafe and “Yin Chin”
Bibliographic record
Abstract
History class tells us a narrative of first contact between Indigenous people and colonizers that is very narrow in scope. The discussion is often limited to accounts of European colonizers; the brutal assimilation tactics that destroyed the culture of the first peoples of this land are often excluded. Also forgotten are the other stories of first contact that existed synchronously – the stories that do not revolve around dominant society. Sky Lee’s Disappearing Moon Café provocatively spotlights the instances of connection between Chinese and Indigenous communities both historically and in modern day. Lee cautiously manoeuvres around issues of love, miscegenation, intergenerational trauma and cultural norms, particularly focusing on the relationships that exist between both Chinese and Indigenous characters and communities. Lee Maracle focalizes these Chinese-Indigenous relationships from an Indigenous perspective in her piece “Yin Chin.” Together, the texts highlight female strength and emphasize the importance of women in bridging together the two communities. Through the narratives they tell that surpass temporal boundaries and implicitly through their writing as two female authors, the texts suggest that women are society’s mechanism of resistance to social barriers.
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 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.022 | 0.020 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".