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Record W2313368737 · doi:10.5993/ajhb.38.4.9

Group-Based Lifestyle Sessions for Gestational Weight Gain Management: A Mixed Method Approach

2014· article· en· W2313368737 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

VenueAmerican Journal of Health Behavior · 2014
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGeneralizability theoryWeight gainWeight managementPrenatal careMedicinePreferenceFamily medicinePsychologyNursingWeight lossObesityBody weightDevelopmental psychologyPopulation

Abstract

fetched live from OpenAlex

OBJECTIVE: To integrate group-based lifestyle sessions (GBLS) within prenatal care for gestational weight gain (GWG) management. METHODS: In Study 1, participants attended GBLS during prenatal care visits. Participants in Study 2 attended off-site GBLS whereby care providers were asked to discuss the program with patients. Process and outcome evaluation were conducted through a mixed-methods approach. RESULTS: In both pre-experimental feasibility studies, data provide preliminary support for GBLS (eg, positive care provider and patient feedback, weight gain patterns) as well as highlight areas for future research (eg, lack of GWG management discussions, preference for GBLS location). CONCLUSIONS: GBLS represents a promising approach to GWG management. Future research should assess the generalizability, sustainably, and compatibility of GBLS within prenatal care.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.962
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.379
Teacher spread0.352 · 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