Bibliographic record
Abstract
Abstract Asian Canadian Literary Studies is a relatively new field of study which began in the mid to late 1990s. Even though literature written by Chinese, Japanese, and South Asian Canadians had been published in literary magazines and anthologies since the 1970s, the identification of a distinct body of works called “Asian Canadian literature,” as Donald Goellnicht has noted (in “A Long Labour”), began only when there was a sociopolitical movement focused on identity politics. The literature includes early experiences of Chinese in Gum San or “gold mountain”; Japanese Canadian internment during the Second World War; South Asian Canadians diasporic writing from former British colonies like India, Pakistan, Sri Lanka, Bangladesh, Trinidad, Guyana, Tanzania, and Kenya; feminist experimental and genre writing; and writing from the post-1975 wave of first- and 1.5-generation immigrants and refugees. Early 21st-century works have moved from mainly autoethnographic stories to those that include larger sociocultural concerns, such as poverty, domestic violence, the environment, lesbian, queer, and transgender issues, and other intersectional systems of oppression that face Asian Canadians and other marginalized groups. Genres include memoirs, films, short stories, autobiographies, realist novels, science fiction, graphic novels, poetry, plays, and historical novels. In the past, without naming the field “Asian Canadians,” many critics have engaged with Asian Canadian literary texts. For example, articles and chapters about Joy Kogawa’s Obasan can be found in journals and books on Canadian, postcolonial, ethnic, and Asian American literature. South Asian Canadian literature also has strong links with postcolonial studies and institutions, such as the book publisher TSAR Publications, which began as the literary journal, The Toronto South Asian Review. In Canadian English usage, Asian usually refers to people from East and Southeast Asian while the term South Asian Canadian is a subgroup of Asian Canadian, according to Statistics Canada. In literary studies, it has only been in the past ten or fifteen years that the term “Asian Canadian” is used as a pan-ethnic term for all peoples who are originally from or have roots in Asia.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.012 | 0.014 |
| Science and technology studies | 0.040 | 0.018 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.030 | 0.005 |
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".