Epidemic encounters : influenza, society, and culture in Canada, 1918-20
Bibliographic record
Abstract
Introduction / Magda Fahrni and Esyllt Jones Part 1: Public Responses to the Influenza Pandemic in Canada 1 The Limits of Necessity: Public Health, Dissent, and the War Effort during the 1918 Influenza Pandemic / Mark Osborne Humphries 2 Rendering Valuable Service: The Politics of Nursing during the 1918-19 Influenza Crisis / Linda Quiney 3 Respectfully Submitted: Citizens and Public Letter Writing during Montreal's Influenza Epidemic, 1918-20 / Magda Fahrni Part 2: Who Contracted Influenza and Why? 4 The North-South Divide: Social Inequality and Mortality from the 1918 Influenza Pandemic in Hamilton, Ontario / D. Ann Herring and Ellen Korol 5 Beyond Biology: Understanding the Social Impact of Infectious Disease in Two Aboriginal Communities / Karen Slonim 6 A Geographical Analysis of the Spread of Spanish Influenza in Quebec, 1918-20 / Francis Dubois, Jean-Pierre Thouez, and Denis Goulet Part 3: Influenza and the Limits of Modernity 7 Flu Stories: Engaging with Disease, Death, and Modernity in British Columbia, 1918-19 / Mary-Ellen Kelm 8 Spectral Influenza: Winnipeg's Hamilton Family, Interwar Spiritualism, and Pandemic Disease / Esyllt Jones Part 4: Influenza and Public Health in the Contemporary Context 9 Toronto's Health Department in Action: Influenza in 1918 and SARS in 2003 / Heather MacDougall Conclusion / Esyllt Jones and Magda Fahrni Selected Bibliography Contributors Index
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.035 | 0.008 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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 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".