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Record W2043872021 · doi:10.1353/pbm.2005.0081

Beyond EBM: new directions for evidence-based public health

2005· article· en· W2043872021 on OpenAlexaff
Wendy McGuire

Bibliographic record

VenuePerspectives in biology and medicine · 2005
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStalematePublic healthCritical realism (philosophy of perception)Causality (physics)Field (mathematics)Public relationsHealth policyEngineering ethicsInterdependencePhilosophy of scienceWork (physics)Political scienceSociologySocial scienceRealismMedicineEpistemologyLawPoliticsNursing

Abstract

fetched live from OpenAlex

Public health researchers, policy makers, and practitioners agree that health is the outcome of interactions between biological, behavioral, and social determinants. Nonetheless, institutional patterns of research funding and practice remain obstacles to generating research at and between each of these levels. These practices are embedded in historic assumptions about the nature of reality and how it can best be understood. Current debates over the criteria for evaluating public health research have centered on the applicability of the clinical evidence-based medicine (EBM) model to the field of public health. The EBM hierarchy, which is based on traditional scientific assumptions about causality, is insufficient and potentially harmful as the basis for evaluating research on the determinants of health. Yet those who have put forward a critique of EBM have failed to develop a plausible alternative. Critical realism, based on the philosophy of Roy Bhaskar, may provide a way out of the current stalemate, enabling public health researchers from various disciplines and research paradigms to work together, bringing the full weight of scientific knowledge to bear on increasingly complex and global public health problems.

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)0.004
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.849
Threshold uncertainty score0.875

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.668
GPT teacher head0.705
Teacher spread0.037 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations38
Published2005
Admission routes1
Has abstractyes

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