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Record W2119123165 · doi:10.5888/pcd11.140201

Information–Seeking Among Chronic Disease Prevention Staff in State Health Departments: Use of Academic Journals

2014· article· en· W2119123165 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePreventing Chronic Disease · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsnot available
FundersNational Center for Chronic Disease Prevention and Health PromotionNational Institute of Diabetes and Digestive and Kidney DiseasesCenters for Disease Control and PreventionNational Cancer InstituteWashington University in St. LouisNational Institutes of HealthMcMaster UniversityPartenariat Canadien Contre Le Cancer
KeywordsMedicinePublic healthPsychological interventionHealth departmentDescriptive statisticsFamily medicineEnvironmental healthGerontologyNursing

Abstract

fetched live from OpenAlex

Use of scientific evidence aids in ensuring that public health interventions have the best possible health and economic return on investment. We describe use of academic journals by state health department chronic disease prevention staff to find public health evidence. We surveyed more than 900 state health department staff from all states and the District of Columbia. Participants identified top journals or barriers to journal use. We used descriptive statistics to examine individual and aggregate state health department responses. On average, 45.7% of staff per state health department use journals. Common barriers to use included lack of time, lack of access, and expense. Strategies for increasing journal use are provided.

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.001
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 head0.283
GPT teacher head0.591
Teacher spread0.307 · 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