Bibliographic record
Abstract
The language of nature that permeates Dionne Brand’s poetry is often read as a metaphor for place, a site from which the politics of identity, home and belonging are negotiated. But the places through which the politics of inclusion and exclusion are enacted are alive in Brand’s poetry. This essay reads her attention to the living world of nature as an ethical and political engagement with the complex intersections of social injustice and environmental degradation, as traced through the motifs of landscape, territory, cartography, and planetarity in four poetry collections: No Language Is Neutral (1990), Land To Light On (1997), thirsty (2002), and Inventory (2006). In these poems, nature becomes the lived world when experienced through bodily movement not totalized cartography, when voiced in sound rather than pinned down by the gaze, and when recognized as a multitude of both friends and strangers. The expression of love for nature makes the disjuncture between place, belonging, and justice so painful in Brand’s poetry. In marking so carefully the relations of love and power that bind and rupture identity and place, Brand shows how necessary but difficult is the task of making the places we live in actually liveable.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".