‘Other’ voices in Canadá: no Language is Neutral and other poems of Dionne Brand <br> Outras vozes no Canadá: no Language is Neutral e outros poemas de Dionne Brand
Bibliographic record
Abstract
This work aims the analysis of some of Dionne Brand’s poems. Caribbean and an immigrant in Canada, Brand discusses social polemics issues, such as racism, sexuality, feminism, and marginalization. Thus, we selected some texts to analyze its content and verify if these problems are reflected in her speech as a writer. Considering that Brand is black, immigrant and woman, her poetry reflects a hyphenated position, it express in its content relation to Caribbean, in her style and language that evolves the ‘demotic’ used as resistance ways for many oppressions that Caribbean immigrants still suffer in Canada, country which has adopted the multiculturalism politics. Este trabalho tem por objetivo analisar alguns poemas da escritora Dionne Brand. De origem caribenha e imigrante no Canadá, Brand discute temas socialmente polêmicos, tais como, racismo, sexualidade, feminismo e marginalização. Assim, selecionamos alguns de seus textos de forma a analisarmos o conteúdo para a verificação se esses problemas são refletidos em sua linguagem como escritora. Considerando-se que Brand é negra, imigrante e mulher, sua poesia reflete uma posição hifenizada, expressa na escolha de temas que remetem ao Caribe, no estilo e na linguagem que envolve o uso do 'demótico' como forma de resistência às diversas opressões que imigrantes caribenhos ainda sofrem no Canadá, país que adota oficialmente a política do multiculturalismo.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.032 | 0.018 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".