The role of information in health behavior: A scoping study and discussion of major public health models
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.
Bibliographic record
Abstract
Information interventions that influence health behavior are a major element of the public health toolkit and an area of potential interest and investigation for library and information science ( LIS ) researchers. To explore the use of information as a concept within dominant public health behavior models and the manner in which information practices are handled therein, we undertook a scoping study. We scoped the use of “information” within core English‐language health behavior textbooks and examined dominant models of health behavior for information practices. Index terms within these texts indicated a lack of common language around information‐related concepts. Nine models/theories were discussed in a majority of the texts. These were grouped by model type and examined for information‐related concepts/constructs. Information was framed as a “thing” or resource, and information practices were commonly included or implied. However, lack of specificity regarding the definition of information, how it differs from knowledge, and how context affects information practices make the exact role of information within health behavior models unclear. Although health information interventions may be grounded in behavioral theory, a limited understanding of the ways information works within people's lives hinders our ability to effectively use information to improve health. By the same token, information scientists should explore public health's interventionist approach.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.026 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.008 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it