Letter re: Saro-Wiwa's possible transfer to the military hospital.
Bibliographic record
Abstract
Handwritten letter to Sister Majella from Ken Saro-Wiwa referring to a number of subjects, including: sending letters through Julia; overview of recent events; possible transfer to the military hospital, stating 'I hope I can find rest there if nothing else for I'm mentally exhausted'; breakthrough in Lagos, noting 'My brother Owens had an hour-long recorded conversation with the British High Commissioner who assured him Shell was on the side of the Ogoni'; developments with Shell; update from the tribunal, stating 'Even the prosecution witnesses want to be paid to alter their testimony same as they were paid to bear false witness'; pressure from abroad on the administration, and noting also 'my son has been in Canada and I understand he had some air time on CNN during his recent trip to America to receive my Prize'; and the conditions in Nigeria, noting 'The suffering in Ogoni is quite depressing. The goon soldiers are still around and are still extorting money from people. And at the national level, the economy is in a big mess'.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.317 | 0.122 |
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".