Is There a Definition? Ruminating on Poetic Inquiry, Strawberries and the Continued Growth of the Field
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Over the last ten years, Poetic Inquiry (PI) has proven itself as an emergent arts-based research methodology. It has gained greater acceptance in the larger community of qualitative research due in large part to the hundreds of published studies that employ the writing or analysis of poetry as a major focus of the research process (Finley, 2003; Prendergast, Leggo & Sameshima, 2009; Prendergast & Galvin, 2012). However, despite this greater acceptance and increase in studies found in the literature, there has not been a critical contemporary exploration of the history, theory and method of PI that could lend itself to defining what the method is, for those unfamiliar with it. This article provides a summary of PI as it exists in the literature today. This includes surveying the rhizomatic history of the method, exploring debates around who should or should not use the method and conversation around the current uses of PI in qualitative research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it