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Record W1999028877 · doi:10.1080/07399330390170105

BARRIERS TO WELLNESS ACTIVITIES FOR CANADIAN WOMEN WITH PHYSICAL DISABILITIES

2003· article· en· W1999028877 on OpenAlexaffabout
Fran Odette, Pat Israel, Audrey Li, Deb Ullman, Angela Colontonio, Heather Maclean, D Locker

Bibliographic record

VenueHealth Care For Women International · 2003
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsSunnybrook Health Science CentreWomen's College HospitalUniversity of Toronto
Fundersnot available
KeywordsDiversity (politics)GerontologyFocus groupPsychologyMedicinePolitical scienceBusiness

Abstract

fetched live from OpenAlex

Although there is a great deal of interest in women's health, research on the health and well being of women with disabilities has not increased. In this article we present internal and structural barriers to wellness activities experienced by women with disabilities. We also discuss women's actual and recommended strategies to address these barriers. Data were collected in six focus groups in urban and rural Ontario, Canada. The participants represented a diversity of disability, age, and ethnoracial backgrounds. Our findings suggest that individual and structural barriers exist for the women, with structural barriers (physical, informational, and systemic access) being predominant. Barriers prevented women from engaging in desired wellness activities. Women discussed actual strategies to address these barriers, such as collective efforts to buy nutritious foods and recommendations to create greater access (e.g., increase health professionals' training in disability issues).

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.040
GPT teacher head0.449
Teacher spread0.409 · 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

Citations29
Published2003
Admission routes2
Has abstractyes

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