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Record W2233704115 · doi:10.1080/17538068.2015.1122873

Exploring the health literacy of First Nations young adult women

2016· article· en· W2233704115 on OpenAlex
Ebony Rempel, Lorie Donelle, Anita Kothari

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Communications In Healthcare · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsWestern UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsHealth literacyLiteracyMedicineAdult literacyYoung adultPsychologyGerontologyHealth carePolitical sciencePedagogy

Abstract

fetched live from OpenAlex

Relative to non-First Nations, Inuit, and Métis (FNIM) Canadians, FNIM people have poorer health status. Accessing and comprehending information and services that influence health is a fundamental skill that enables individuals to function within a health care system that expects individuals to play an active role in promoting their health. A qualitative investigation of the health literacy skills and the health information needs of young FNIM adults was conducted. Eight single First Nation mothers living on-reserve were interviewed between February 2012 and September 2012. Data analysis generated main themes and subthemes of: (1) Health Information Needs of First Nations Young mothers; (2) Interpersonal Health Information Resources: (i) Asking the Doctor/Telehealth, (ii) Female Family and Friends; and (3) Online Accessibility and User Skills: (i) Health Information Online, (ii) Social Media, and (iii) Navigation and Computer Skills. Although participants used online and social media resources to access health information, they expressed a lack of confidence in their ability to comprehend accessed information. Strategies to support First Nations young mothers are recommended.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.203
GPT teacher head0.496
Teacher spread0.292 · 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