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Health Literacy as an Empowerment Tool for Low-Income Mothers

2006· article· en· W2014928556 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

VenueFamily & Community Health · 2006
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsUniversity of AlbertaCapital District Health Authority
Fundersnot available
KeywordsOperationalizationHealth literacyEmpowermentConceptualizationHealth careSocioeconomic statusLiteracyHealth equityPsychologyMandateSociologyPublic relationsMedicinePedagogyPolitical scienceEconomic growthEnvironmental healthComputer scienceEconomics

Abstract

fetched live from OpenAlex

Health literacy commonly refers to the extent to which one can access and accurately interpret healthcare information. Statistics reveal that limited health literacy is prevalent among those of lower socioeconomic status. When working with low-income mothers, it is recommended in this article that healthcare professionals operationalize a broader conceptualization of health literacy than assessment of reading levels and translating knowledge of risk factors for illness and disease. Nutbeam's continuum of functional, interactive, and critical health literacy directs healthcare professionals to expand their health education mandate to encompass equipping low-income mothers with the necessary knowledge and skills to gain control over their lives and optimize the healthy development of their children. Tenets from social cognitive theory, principles from interdependence theory, and strategies from Freire's empowerment education model are integral to successful progression along Nutbeam's health literacy continuum.

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)0.013
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0070.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.002
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 head0.052
GPT teacher head0.474
Teacher spread0.422 · 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