Bibliographic record
Abstract
The Prison News Network (PNS) focuses on political trials, repressive abuses of imprisonment and the resistance to such oppression. It was joined with another existing prison periodical called Marionette made by prisoners for prisoners and the general public to spread awareness of the conditions prisons, Marion Penitentiary, Illinois in particular. Edited by Bill Dunne. Article topics include: Dope distortion, Prison militarization (from Ecomedia Toronto), Native prisoners denied sweatlodge, Prison system corruption, Get them while they're young (by the Sedition Committee), International notes, Bulldozer recommends "Your silence will not protect you" (cassette tape of works by Black and North American Indian poets and performers), German hunger strike ends (by correspondent), Prison myths about AIDS, American prisons punish AIDS victims (by Adam Starchild), An open letter to the progressive community (from the Emergency Committee for Political Prisoners) (Note: p. 8-9 is a double-page spread). Marionette, no. 44, July-August 1989. Article topics include: The wages of ?, Big brothers parasites, Donna departs (Donna H. Kolb, attorney), Marionnotes.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.707 | 0.563 |
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".