Bibliographic record
Abstract
I have come to believe over and over again that that which is most important to me must be spoken or communicated, made verbal or signed and shared, even at the risk of having it bruised or misunderstood or at some time used against me for injurious purposes. This communication heals me beyond most any other effect because it offers a chance for self-examination, dialogue, polylogue, connection, shelter, and healing. I write now at the end of the first quarter of the twenty-first century on the stolen land of a nation-state—undoubtedly the most powerful corporate organization in the history of human civilization on Earth—made possible through genocide and slavery and misogyny. As a white gay and disabled male from the lowest economic class, with radical feminist, Black feminist, Womanist, and anti-capitalist politics, the meaning of all this rests upon the fact that I am still alive and might not be—according to some people and their ideas and actions or, for that matter, the diseases and disorders ravaging my body.
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 | 0.018 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.096 |
| Scholarly communication | 0.019 | 0.021 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".