<i>Vaccine Nation: America's Changing Relationship with Immunization</i> by Elena Conis
Bibliographic record
Abstract
Vaccine Nation: America's Changing Relationship with Immunization, by Elena Conis. Chicago, The University of Chicago Press, 2015. 353 pp. $27.50 US (cloth), $18.00 (paper). Given extensive news reports about parents refusing to vaccinate their children, it might seem surprising that American children actually receive more vaccinations than ever before. Less than 0.5 percent of children receive no vaccines at all. In this smart and balanced book, Conis argues that widespread adherence to vaccination is at least as worthy of study as vaccine resistance. She turns her lens on the proliferation of vaccines in the postwar era when new vaccines targeted the milder diseases of childhood such as measles, mumps, and whopping cough. More recently, vaccines have been developed and promoted that protect against diseases that largely affect adults (HPV and Hepatitis B), but are given predominantly to children. Through a careful examination of vaccine development, federal vaccine policies, and the public debate over vaccination, Conis demonstrates why health policy-makers have promoted vaccination and why children receive most of the vaccinations. In doing so, she helps us to understand the growing resistance to vaccination. Conis argues that vaccines came to be seen as an important public good in the wake of the polio epidemics of the middle decades of the twentieth century. The timing of this might be slightly off: toxoid had already had a dramatic impact on reducing deaths from diphtheria. She argues that the rise of pediatrics as a medical specialty and the array of public health services provided to children ensured that children were more easily accessed than other segments of the population and that as a result, children became the primary focus of vaccination. Public funding for vaccinations increased in the post-war era not only because policy-makers realized that the vaccines could dramatically reduce disease but also because after the introduction of the polio and measles vaccines, it became clear that these diseases were increasingly concentrated in poorer neighbourhoods and among African American and Hispanic populations. Vaccines were a relatively cheap option for reducing health disparities. At the same time, new vaccines changed perceptions of childhood illnesses. Measles had once been dismissed as an inconvenience, but vaccine promoters emphasized that measles could have dangerous side-effects including encephalitis, deafness, and brain damage. Mumps was similarly transformed from a mild disease of childhood to one with frightening complications including male sterility and mental retardation. Conis argues that the introduction of the mumps, measles, and rubella (MMR) vaccine by Merck in 1971 ensured that American children would be vaccinated against the mumps, but she does not believe that a profit-seeking pharmaceutical company duped Americans into vaccinating their children. Instead, she argues that concern about the declining birth rate made the possible complications of the mumps seem more serious. …
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.037 | 0.021 |
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".