The Politics in a Poem: ‘Peripheral reading’ <em>North End Love Songs</em> and <em>Estate Fragments</em>
Bibliographic record
Abstract
This article examines the political dimensions of poetry through the lens of ‘peripheral reading’, considering textual representations of a place in relation to its socio-political context. It focuses on Katherena Vermette’s North End Love Songs and Gavin Goodwin’s Estate Fragments, two works which depict communities in urban places. Vermette’s lyric poetry considers North End, a neighbourhood in Winnipeg, Canada, while Goodwin’s found poetry explores Bettws, in Newport, Wales. Poetry is positioned as a mode of commemoration, resisting the erasures enforced by colonial and neoliberal ideologies. Vermette and Goodwin challenge binaries of the rural and urban, individual and collective, and Indigenous and settler identities. By drawing connections between local specificities and global processes, poetry not only documents but also critiques the forces that shape human relationships to place. Ultimately, the essay underscores poetry’s potential as a political act, fostering dialogue across contexts.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.032 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".