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Record W2903574831 · doi:10.1111/ropr.12318

Politics, Science, and Termination: A Case Study of Water Fluoridation Policy in Calgary in 2011

2018· article· en· W2903574831 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueReview of Policy Research · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFraming (construction)Water fluoridationPoliticsPolitical sciencePublic administrationScience policyLawGeography

Abstract

fetched live from OpenAlex

Abstract Policy termination is identified as a rare occurrence and thus difficult to study. However, one policy area, community water fluoridation, has seen an apparent increase in termination in recent years. We examine the specific case of termination in Calgary, Alberta in 2011 with a specific goal to apply Kingdon's Multiple Streams Approach to the policy termination framework. Our findings suggest that of key importance for the termination of water fluoridation was the impending need for an upgrade to the fluoridation infrastructure, the effectiveness of the local anti‐fluoridation activists, the speed of decision making, and a prominent framing of the issue in ethical terms. The opening of a policy window made possible by the 2010 Calgary municipal election, one that introduced a number of new members to council, as well as the presence of a policy entrepreneur who took advantage of the window's opening, were of specific importance to the success of policy termination.

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)0.011
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.124
GPT teacher head0.532
Teacher spread0.409 · 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