Bibliographic record
Abstract
This writing explores what continues to arise after my cancer diagnosis. A cancer diagnosis enlivens the question of what it means to live well with the Earth and its multi-dimensional beings and provides a necessary push to step out from the confines of a self and toward and into the wild fray of this life. I interpret my lived experiences through life writing. Readers and listeners might be drawn into recognition of their inescapable ecological interdependence. The necessity of cultivating an ability to listen and interpret the world and the human and other-than-human kinships becomes undeniable as I engage in life-writing and photography. Listening to words that arise in my writing and reviewing the photos I take continues to be my way of taking a journey toward learning to be open to the fullness of life, how life is lived, how life can be remembered and suffered and let go. Through this study, I am learning the necessary steps to unforget what I need and what the Earth might need of me. Cancer offers an opening for the practice of life-writing and of making sense of being in the world and of understanding the offerings that arrive when I nurture a commitment to care for the world and myself.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.210 | 0.116 |
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".