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Record W2026645666 · doi:10.1300/j013v39n03_07

Embodied Minds, Restless Spirits: Mid-Life Rural Women Speak of Their Health

2004· article· en· W2026645666 on OpenAlexaff
Wilfreda E. Thurston, Lynn M. Meadows

Bibliographic record

VenueWomen & Health · 2004
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsUniversity of AlbertaUniversité de MontréalInstitute of Gender and HealthUniversity of Calgary
Fundersnot available
KeywordsEmbodied cognitionDualismLuckAgency (philosophy)PsychologyMetaphorScope (computer science)Social psychologyEthnographyTheme (computing)SociologyGender studiesEpistemologySocial scienceAnthropology

Abstract

fetched live from OpenAlex

This manuscript explores mid-life women's views of corporeality and the links that these have to their health. Using ethnographic interview techniques, community based interviewers talked with 24 women from rural settings. Our findings suggest that mid-life women have an embodied view of their minds and spirits, and that dualism is generally reserved for thinking about and interacting with the biomedical system. They have a sense of themselves as unique individuals who have a large role in caregiving, multiple other roles, and have luck but also agency in and control of their health and well-being. Motion was a strong theme throughout the interviews. Women embraced this mobility as a characteristic of their well-being as they coped with multiple changes associated with mid-life. In contrast to what some philosophers maintain, women seem to partner both corporeal changes and metaphor. While the sample was limited in scope, the findings support the importance to women's health of understanding the intersections between compositional and contextual variables in various settings.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.007
Scholarly communication0.0040.003
Open science0.0000.003
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 head0.070
GPT teacher head0.406
Teacher spread0.336 · 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

Citations14
Published2004
Admission routes1
Has abstractyes

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