Writing on the Margins: M. NourbeSe Philip and Questions of be/longing
Bibliographic record
Abstract
Tobago-born M. NourbeSe Philip is a poet and essayist living in Toronto, Canada. Her work often focuses on her experiences as a poet who is a Black immigrant woman. Although physically in Can-ada, Philip asserts that she writes from Tobago, creating a metaphorical isthmus that connects the culture and peoples of two spaces that were once British colonies and that share the same official language. By analyzing a selection of poems from She Tries Her Tongue, Her Silence Softly Breaks(1989) and essays from Bla_K: Essays & Interviews (2017), I aim at exploring how this metaphorical isthmus between Tobago and Canada is reflected in Philip’s work. Anchored to Fernando Ortiz’s concept of “transculturation” and Homi Bhabha’s concept of the “in-between,” I argue that Phil-ip’s poems and essays reflect how the poet negotiates her identity as a Black immigrant woman in a country such as Canada, and how this affects the way she moves in this cultural and geographic space.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".