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Record W1903074968 · doi:10.1186/s40985-015-0004-1

Foundational values for public health

2015· review· en· W1903074968 on OpenAlexaff
Lisa M. Lee, Christina Zarowsky

Bibliographic record

VenuePublic health reviews · 2015
Typereview
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsPublic healthMoralityPublic relationsSociologyHealth policySet (abstract data type)PoliticsPolitical scienceCorporate governanceLawMedicineEconomicsManagement

Abstract

fetched live from OpenAlex

The development of an agreed-upon set of foundational ethical values for the field of public health is ongoing. In this paper we outline key elements of recent convergence on some basic moral precepts that drive public health. We suggest that three elements are particularly useful for anchoring public health practitioners' reflections on public health ethics: 1) the notions of "common" and "professional" morality, 2) an understanding of the practice and content of modern public health and especially its practical, solution-focused orientation, and 3) an appreciation of the history of public health as integrally linked to evolving and contested views of the relationship between citizens, science, and the state. There is broad agreement that governments are stewards of their populations and are responsible for providing conditions that allow for its members to be healthy and productive. Given the role of policy and government in public health, the role of political philosophy likely has a substantial place as we seek a coherent system of ethical justification in our work. The aim here is not to align with one theoretical approach or another, rather, to consider the foundational values of public health practice order to identify the common moral governance of our work. Our profession's morality-the set of norms shared by all public health professionals-is determined by what public health is and what we think it should be. As our aspirations for public health evolve, it is incumbent upon us to engage in reflective discourse to reach a new equilibrium about our moral foundation.

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 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)0.078
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.548
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0780.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.001
Bibliometrics0.0010.003
Science and technology studies0.0040.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.003

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 head0.796
GPT teacher head0.664
Teacher spread0.132 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations26
Published2015
Admission routes1
Has abstractyes

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