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Record W2360121621 · doi:10.1097/ans.0000000000000115

Aboriginal Women's Experiences With Gestational Diabetes Mellitus

2016· article· en· W2360121621 on OpenAlexaffabout
Joanne Whitty-Rogers, Vera Caine, Brenda L. Cameron

Bibliographic record

VenueAdvances in Nursing Science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsGestational diabetesFeelingDiabetes mellitusParticipatory action researchMedicinePregnancyLimitingPopulationAction (physics)Social supportGerontologyPsychologyGestationSocial psychologySociologyEndocrinologyEnvironmental health

Abstract

fetched live from OpenAlex

In Canada, diabetes is 3 to 5 times more common among Aboriginal people than in the general population. Women with a diagnosis of gestational diabetes mellitus have an increased risk of developing glucose intolerance later in life, with almost half developing type II diabetes within 15 years. A participatory action research study using a Two-Eyed Seeing approach was conducted. Conversational interviews with 9 Mi'kmaq women who experienced gestational diabetes mellitus and talking circles were held. Hermeneutic phenomenology was used for data analysis. Themes included life-altering experience; barriers limiting access to health care; social support during pregnancy; and feeling compelled to take action.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.311
Threshold uncertainty score0.617

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0110.004
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.335
Teacher spread0.331 · 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

Citations26
Published2016
Admission routes2
Has abstractyes

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