Transitive Poetry: Arts-Based Research as a Mode for Student Voice
Bibliographic record
Abstract
Arts-based research marks a unique nexus of curricula and its social context. Through the application of semiotics and a focus on anti-oppressive pedagogy, this paper articulates the function of art curricula in empowering student voice to approach and begin to dismantle the oppression of minoritized peoples. We have initiated a political, participatory application of Erasure Poetry that emphasizes the relationship of participants to their broader political environment. The presence of students throughout every dimension of the classroom experience makes the facilitation of their voices a key tool for consciousness-raising and the promotion of equitable, pluralistic, and democratic pedagogies. We posit that making political poetry is an important vehicle for personal reflection, critical thinking, self-expression, and demonstrating knowledge through action that is particularly effective for engaging minority learners, such as those who identify as gender and sexually diverse, in conservative times. Keywords: Erasure poetry, semiotics, student voice, gender & sexually diverse learners
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.034 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".