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Record W1926815925 · doi:10.1111/jep.12258

Underdetermination in evidence‐based medicine

2014· review· en· W1926815925 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.

Bibliographic record

VenueJournal of Evaluation in Clinical Practice · 2014
Typereview
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUnderdeterminationSkepticismEpistemologyEvidence-based medicinePrivilege (computing)Mechanism (biology)MedicinePsychologyPhilosophy of sciencePhilosophyAlternative medicineComputer science

Abstract

fetched live from OpenAlex

This article explores the philosophical implications of evidence-based medicine's (EBM's) epistemology in terms of the problem of underdetermination of theory by evidence as expounded by the Duhem-Quine thesis. EBM hierarchies of evidence privilege clinical research over basic science, exacerbating the problem of underdetermination. Because of severe underdetermination, EBM is unable to meaningfully test core medical beliefs that form the basis of our understanding of disease and therapeutics. As a result, EBM adopts an epistemic attitude that is sceptical of explanations from the basic biological sciences, and is relegated to a view of disease at a population level. EBM's epistemic attitude provides a limited research heuristic by preventing the development of a theoretical framework required for understanding disease mechanism and integrating knowledge to develop new therapies. Medical epistemology should remain pluralistic and include complementary approaches of basic science and clinical research, thus avoiding the limited epistemic attitude entailed by EBM hierarchies.

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)0.117
metaresearch head score (Gemma)0.196
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.995
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1170.196
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
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 head0.582
GPT teacher head0.670
Teacher spread0.088 · 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