A Poetic Tribute to the Spirit of Canada-Nicaragua Solidarity: Tools for Peace
Bibliographic record
Abstract
Tools for Peace (T4P) was a grassroots campaign in the 1980s that mobilized Canadians in every province and territory from diverse walks of life and extended large quantities of material support to Nicaragua’s Sandinista revolution. Despite having been recognized by the Nicaraguan state as one of the most important international solidarity efforts of the Sandinista era, T4P has received strikingly little scholarly attention. The paper analyzes 27 interviews with Tools for Peace participants that were conducted in the mid-1980s for an anthology that was never published, the transcripts of which are now found in the public archives at McMaster University. The interviewees’ words evoke the moods, sentiments, and dispositions that animated T4P. Weaving scholar-activism with arts-informed inquiry, this paper presents those sentiments in a series of found poems that seek to both engage and inspire their readers. Through these poems, the paper evokes the experiential and affective dimensions of international solidarity as it was enacted through this novel historical experience. We suggest that T4P was exemplary of the spirit of solidarity in the global movement in support of the Sandinista revolution, but also unique in its Canadian-ness, leading us to advocate a definition of international solidarity that emphasizes its situatedness, together with its experiential and affective dimensions.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.027 | 0.030 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".