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
The current COVID-19 crisis emphasizes that pandemics are both biomedical phenomena and significant multifaceted historical events. The 1918–19 Influenza Pandemic, known as the “Spanish Flu,” was estimated to have killed between fifty to one hundred million people, yet historians like Alfred Crosby labelled the Spanish Flu a “forgotten” pandemic because of its absence from contemporary and academic writing. Memory of the pandemic has recently received academic attention in Pandemic Re-Awakenings (2022) though memories of thepandemic in Newfoundland and Labrador (NL) were not explored in that work. This paper examines the memory of Spanish Flu in NL using both “global” and “local” perspectives and argues for the importance of applying globally recognized academic theory, methodology, and examples to local perspectives and experiences. During an era fixated on remembrance, the pandemic dead were concealed by the Great War, except members of the community who fit into heroic narratives. Without utilitarian value, the memory of the Spanish Flu was “forgotten,”an active and passive process that downplayed its impact on human society. Memory of the Spanish Flu persisted in private form and influenced the world through public health policy changes and as a precedent-setting event to be viewed in grim anticipation of future pandemics.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 | 0.001 |
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