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Record W4240407426 · doi:10.3138/chr.89.3.345

Expertise, Health, and Popular Opinion: Debating Water Fluoridation, 1945–80

2008· article· en· W4240407426 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Historical Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsOptimismFaithPolitical sciencePublic opinionAnxietyWater fluoridationScientific consensusEnvironmental ethicsPsychologyPublic relationsMedicineLawSocial psychologyClimate changePoliticsGlobal warmingPsychiatryEpistemology

Abstract

fetched live from OpenAlex

Historians have often painted the 1950s and early 1960s as a time of technological optimism, faith in science and medicine, and belief in experts. In fact, there was more anxiety about medical and scientific progress than has often been acknowledged. This anxiety was perhaps most strongly expressed in one of the most hotly debated issues of the day – water fluoridation. Fluoridation referendums can tell us much about how voters responded to the voices of organized medicine and its critics. Doctors and dentists claimed that water fluoridation was perfectly safe and that it would dramatically reduce the incidence of tooth decay, and yet Canadians repeatedly voted against fluoridation in municipal referendums. There is little question that the 1950s and 1960s marked a high point in scientific optimism and faith in experts, but even then there were cracks in the facade. As with the concern over nuclear fallout and ddt, there was fear about where technology might lead us, concern that doctors and dentists might be influenced by large corporations, and worries that further research would show that there were dangers not yet known. In examining these issues, this article adds to a growing body of literature that no longer sees a significant break between the “conservative” 1950s and the “radical” 1960s, and instead suggests that there is more continuity between these periods than has often been acknowledged.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.057
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.046
GPT teacher head0.277
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it