“Carry On”: State Censorship and Denial of Spanish Influenza in Great Britain (1918-19)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the final year of the “war to end all wars”, the world would be plagued by a new universal enemy: Spanish Influenza. Considered the largest pandemic of all time, in terms of infection and death rates, the 1918-1920 virus is estimated to have affected half of the world’s population and killed 50-100 million. However, for as cataclysmic as this disease was, it has often been forgotten by both academia and society as a whole. Using Great Britain and Ireland as an example, it is argued that the Spanish Flu has largely been forgotten as a result of state official denial and press censorship in a time when the country could not afford to look weak in the final year of World War I and its immediate aftermath. Parallels are drawn to the current COVID-19 pandemic. Department: Interdisciplinary Dialogue Project Faculty Mentor: Dr. Aidan Forth
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.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it