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Record W7101883638 · doi:10.71892/11143/1160

Les représentations sociales d’une future grossesse en santé chez les femmes ayant un surplus de poids et leurs partenaires

2025· other· fr· W7101883638 on OpenAlexaboutno aff

Bibliographic record

VenueUSherbrooke-PROD · 2025
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsResearch methodologyGender identityHuman immunodeficiency virus (HIV)Reproductive behavior

Abstract

fetched live from OpenAlex

Thesis presented at the faculty of medicine and health sciences for the obtention of Master degree diploma maitre ès sciences (M.Sc.) in PRSS, Faculty of medicine and health sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada, J1H 5N4 This study addresses a significant public health concern: the health of women of reproductive age with excess weight. More than one in five women in Canada features this condition, which is associated with various mental, physical, and reproductive health challenges. Given the limited effectiveness of interventional approaches targeting this population—primarily focused on weight loss—this research aims to understand how a healthy future pregnancy is socially represented by overweight women and their partners. Grounded in the theoretical framework of social representations, this descriptive, interpretive and qualitative research explores in depth the shared socio-cognitive constructions that determine preconceptional health behaviors among women with excess weight and their partners. The methodological approach involved 16 women (mean body mass index of 36.4 kg/m²) and 7 male partners, recruited in Quebec. Data collected through individual semi-structured interviews and sociodemographic questionnaires underwent rigorous thematic analysis following Braun and Clarke's approach. The findings identify three shared conditions underlying the production and circulation of social representations on a future healthy pregnancy: (1) stigmatization at three levels (medical, social, and internalized) constituting a fundamental barrier to pregnancy preparation; (2) constrained preconceptional temporality with a dual urgency: the urgency to lose weight and reproductive urgency; and (3) specific needs of couples concerned with maternal excess weight. In-depth analysis revealed two distinct representational configurations among women. A predominantly negative social representation, associated with higher BMI and history of miscarriages, which is characterized by pronounced stigmatization and increased reproductive anxiety. Conversely, the positive representation revolves around resilience mechanisms and a holistic approach to health. Partners, occupying a peripheral position, manifest a more pragmatic vision, while the interactional dynamics within the couple demonstrate a process of co-construction where the feminine perspective predominates. These findings suggest the relevance of preconceptional interventions integrating psychosocial and relational dimensions, respecting women's autonomy while valuing active partner involvement. This research makes an original contribution through its woman-centered perspective on the preconceptional period, and its dyadic approach often neglected in previous studies. Its implications are manifold: orienting reflection toward a more inclusive preconceptional health prevention model, providing insights for improving clinical interventions aimed at optimizing the health of women of reproductive age and their partners, and contributing to reproductive justice by questioning the dominant biomedical approach.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.397

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.008
Scholarly communication0.0040.002
Open science0.0010.002
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 head0.069
GPT teacher head0.355
Teacher spread0.286 · 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 designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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