"Talking to" and Creating Coresistances with Diasporas in Lee Maracle’s Talking to the Diaspora
Bibliographic record
Abstract
This article by Christine Campana engages three poems from Stó:lō writer Lee Maracle’s collection Talking to the Diaspora (2015) to query the term diaspora and to consider what different diasporas may gain from listening to Maracle’s “talk.” Analyzing Maracle’s representations of diasporas, in relation to Michi Saagiig Nishnaabeg writer Leanne Betasamosake Simpson’s concept of “constellations of coresistance,” discussed in As We Have Always Done: Indigenous Freedom Through Radical Resistance (2017), reveals that Maracle not only speaks back to white settlers; she also encourages creative conversations with communities of colour. The poems “Talking to the Diaspora,” “On the 25th Anniversary of Martin Luther King’s Death,” and “Remembering Mahmoud 1976” demonstrate how Maracle invites Black and Palestinian peoples rendered diasporic by settler colonialism to join her in reimagining belonging on Turtle Island in a way that prioritizes care for Indigenous lands. Without negating differences between peoples, Maracle’s poems reorient potential coresistors across time and space, reminding them of moments of coresistance and the futurities they can create together.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.025 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".