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Record W2256445397

Hurry up and wait. The experiences of young women in rural Nova Scotia accessing specialized care.

2011· article· en· W2256445397 on OpenAlexaffabout
Jessie Harrold, Lois Jackson

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsDalhousie University
Fundersnot available
KeywordsNova scotiaFeelingThematic analysisHealth careAffect (linguistics)Qualitative researchNursingPsychologyMedicineSocial psychologyPolitical scienceSociology
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: This study explored experiences of waiting to access specialized health care among young women living in selected rural communities on the south shore of Nova Scotia. We asked women about the challenges they faced during wait times and how they perceived the impact of these experiences on their health. METHODS: We conducted qualitative interviews with 10 women aged 21-37 years. We used thematic analysis to identify common experiences among participants. RESULTS: Some women expressed feelings of frustration about waiting, but others resigned themselves to the wait. Women reported challenges such as caregiving for ailing family members who waited for care. Some women took control of their situation by accessing private health care or what they called "the next best thing" (e.g., care from alternative health providers), although in some cases this was financially costly. A few women sought assistance through support networks. Many women reported that wait times affected their health. CONCLUSION: Our results support previous research indicating that young rural women's caregiving roles and support networks influence their experiences with wait times. Our research indicates that waiting to access specialized care can be financially costly for some women and may also affect their health.

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 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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.031
GPT teacher head0.268
Teacher spread0.236 · 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 teacher head, 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

Citations9
Published2011
Admission routes2
Has abstractyes

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