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From Miasma to Fractals: The Epidemiology Revolution and Public Health Nursing

2004· review· en· W2115777745 on OpenAlex
Marjorie MacDonald

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

VenuePublic Health Nursing · 2004
Typereview
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPublic healthEpidemiologyPublic health nursingMedicineNursingSociologyPathology

Abstract

fetched live from OpenAlex

If public health nursing is truly a synthesis of public health science and nursing science, then nurses must keep track of current developments in public health science. Unfortunately, the public health nursing literature has not kept pace with revolutionary developments in epidemiology, one of the sciences that informs population-focused nursing practice. Most epidemiology chapters in community health nursing texts do not reflect the intellectual development that has taken place in epidemiology over the past two decades. The purpose of this article therefore is to facilitate an updated synthesis by (a) reviewing the development of epidemiology and the focus of public health nursing practice through three historical eras, (b) discussing current controversies and tensions within epidemiology, (c) introducing an emerging paradigm in epidemiology based on an ecosocial perspective, and (d) discussing the congruence of this perspective with the evolving theory and practice of public health nursing.

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)0.017
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.892
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0010.002
Science and technology studies0.0090.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0000.001

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 head0.594
GPT teacher head0.590
Teacher spread0.004 · 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