Spoken Word Poetry with Multilingual Youth from Refugee Backgrounds
Bibliographic record
Abstract
Abstract This article reports insights from a spoken word poetry workshop conducted with youth from refugee backgrounds and their teachers at a large suburban secondary school. The broad aim of engaging spoken word poetry in the educational context was to encourage and listen to student voice and creative self‐expression, and to explore opportunities within the class to speak to sociopolitical issues and injustices relevant to students’ lives and experiences. The article illustrates how the workshop created situated, embodied teaching and learning activities to familiarize students with the spoken word genre and invite students to imagine spoken word as part of their expanding repertoire. These experiences engaged with students’ linguistic, cultural, and other semiotic resources, valorizing translanguaging as a critical practice for youth in the process of resettlement and teachers supporting their social and educational integration. The article concludes with implications for teachers interested in incorporating spoken word in the classroom.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.008 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.002 | 0.005 |
| 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".