Bibliographic record
Abstract
Aniin. Boozhoo. Tansi. I identify as Anishinaabe and Metis on my late mother’s side and of Celtic-Germanic ancestry on my father’s side. I was arriving: exploring healing and knowing in my own creation(s) is a métissage, sharing moments of a life lived in longing to become a good relation, a useful medicine, to the beings in this world of anguish and dis-ease. This is a re-presencing of some teachings I have received from the interstitial spaces of making, and writing poetry, allowing me a place to fall into when I don’t know where to go or what to do. This work is an honoring of the oral/storytelling tradition—a sharing of what I have come to know in this walk—the medicines living in me. Making puts us in our bodies where we are forced to feel the suffering and joys of others. In this embodied walk, we, hopefully, become models for others to do the same, thus creating spaces where folx are invited to grow their capacity to answer the calls to justice for All Our Relations.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".