Educating the Artists of the Invisible: The Pedagogy of the Found Poem
Bibliographic record
Abstract
The found poem is a poem that is created out of words from a variety of sources. The author of the found poem selects words, passages and phrases from a series of readings and crafts these words, passages and phrases into a poem. This article describes the use of the found poem in a graduate level Capacity Development course through the reflections of two graduate students and the course instructor. The article begins by articulating the challenges we collectively face as wicked problems, and describes these problems. The following section then describes capacity development and its relationship to wicked problems to provide a context for the found poem. The following section then provides a brief description of the use of the found poem followed by the reflections of two graduate students on the process of creating the found poem and its impact upon their learning. The course instructor then offers his observations of its use in his class and this followed by three conclusions on the value of the found poem.
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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 | 0.009 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.033 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.007 |
| 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".