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“Black-Box” Epidemiology

2005· letter· es· W1545376578 on OpenAlexfundno aff
Juan Manuel Mejía‐Aranguré, Arturo Fajardo‐Gutiérrez, Manuel Ortega-Álvarez

Bibliographic record

VenueEpidemiology · 2005
Typeletter
Languagees
FieldEnvironmental Science
TopicHealth, Environment, Cognitive Aging
Canadian institutionsnot available
FundersUniversity of TorontoInstitute for Clinical Evaluative Sciences
KeywordsEpistemologyContradictionNoveltyReplication (statistics)Sociology of scientific knowledgeScientific theoryNull hypothesisValue (mathematics)EpidemiologyPsychologyPositive economicsComputer scienceMedicineSocial psychologyMathematicsEconometricsPathologyPhilosophy

Abstract

fetched live from OpenAlex

To the Editor: We consider the article by Greenland et al1 and the authors’ response2 to the related commentaries to be a very important contribution. However, we think that the following points, not raised in the commentaries,3–6 should be addressed. To propose that research in risk-factor epidemiology should not concern itself with a theoretical component, and thus become only an empiric part of a current or future theory, does not permit one to make a distinction between scientific investigation and ordinary knowledge. To have epidemiologic articles concerned only with the description of methods, analysis, and data would not permit a differentiation between the knowledge generated by such persons as reporters, detectives, and so on, and the knowledge designated as “scientific” by Greenland et al.1 This would mean that the knowledge generated in epidemiologic studies would be considered as lacking scientific content. In the example that was used, to speak of a unifying theory could fall into a certain contradiction. Although the value of the articles with null associations is clearly shown, the example that is cited is based solely on positive associations. This does not take into account that, from the point of view of the falsificationist approach, the evidence against the theory is the most relevant. Although it was not possible to develop a theory on the process of transformation from health to illness, placing replication and precision on the same plane as validity and novelty begs the following question: When would it be pertinent to end the replication of a fact about a topic of investigation in the absence of a theory that explains and predicts a disease? Given that the value of replication and precision is evident, how many studies are necessary and what degree of precision is acceptable to end research on a topic if a theory is never proposed? Finally, to propose that risk-factor epidemiology need not show its use for public health creates the problem of distinguishing between epidemiologic and basic research. Today, various agencies that fund research require that proposed projects include a description of the usefulness of, and benefits to be derived from, the findings. To lose sight of the use of public health studies would mean that one of the most important functions of all epidemiologic investigation—the only discipline of research capable of establishing the relation between environmental factors and the health of human populations—would be lost. Juan Manuel Mejía-Aranguré Epidemiologia Clinica, Hospital de Pediatria, Centro Medico Nacional “Siglo XXI”, Atizapan, Mexico, [email protected] Arturo Fajardo-Gutiérrez Manuel Ortega-Alvarez Clinical Epidemiology, Hospital de Pediatria, Centro Medico Nacional SXXI, Atizapan, Mexico

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.024
metaresearch head score (Gemma)0.031
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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.051
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.031
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.000
Science and technology studies0.0010.007
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0320.084

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 head0.077
GPT teacher head0.349
Teacher spread0.272 · 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

Labeled directly by 2 models reading the full record.

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

Citations4
Published2005
Admission routes1
Has abstractyes

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