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The perspectives of Brazilian homemakers concerning living with type 2 diabetes mellitus

2012· article· en· W2052384650 on OpenAlexaff
Denise Maria Guerreiro Vieira da Silva, Gerri Lasiuk

Bibliographic record

VenueRevista Latino-Americana de Enfermagem · 2012
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsConstruct (python library)Context (archaeology)Identity (music)Type 2 Diabetes MellitusExploratory researchPsychologyDescriptive researchDevelopmental psychologySocial psychologyMedicineDiabetes mellitusComputer scienceSociologyGeography

Abstract

fetched live from OpenAlex

The purpose of this study is to present an understanding of the experience of Brazilian homemakers with type 2 diabetes mellitus (DM2). A descriptive exploratory design was used and semi-structured interviews were conducted with 25 Brazilian homemakers concerning their experience. The interviews were recorded, transcribed, and the resulting text was analyzed using the sequential step method. Data converged to one dominant category, "constructing one's identity in the family context", which is comprised of three categories: gender differences; day-to-day concerns; and incongruity between knowledge and behavior related to DM2. These findings suggest that participants construct their identities within the family context and that their experience of living with DM2 is integral to their self-identification as wives and mothers. This, in turn, has implications for the design and implementation of programs to assist women in managing DM2 effectively.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.287
Teacher spread0.269 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2012
Admission routes1
Has abstractyes

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