Bibliographic record
Abstract
The question of an existential experience of hurt is not only relevant during present times of enduring hurt through realities such as a deadly pandemic, racialized violence, precarious educational realities, and ongoing struggles for justice in its many forms. The work of this poetic inquiry is enduringly relevant insofar as both institutions and people hold, create, sustain, and attempt to respond to hurt of many kinds. At times, we may cause more hurt than we soothe. As I write, I am grounded in the practices of poetic and literary analysis and position this piece a space and a form to hold the seemingly incommensurable questions for us as teachers, as artists, and as humans existing and living through a world of hurt. As a philosopher of education, I am perpetually concerned with the possibilities of a humanizing education that may soothe and eradicate existential hurt. I look toward poetry and art to show us the way.
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.
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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.040 |
| Scholarly communication | 0.015 | 0.019 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.007 | 0.017 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".