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Record W1968938025 · doi:10.1155/2014/231725

Young Women Stroke Survivors and Their Desire for Peer Support

2014· article· en· W1968938025 on OpenAlexafffund
Sharon-Dale Stone

Bibliographic record

VenueISRN Stroke · 2014
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsLakehead University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFeelingPeer supportPsychologyPeer groupPeer reviewTheme (computing)Stroke (engine)Support groupSocial supportDevelopmental psychologySocial psychologyPsychiatryWorld Wide WebPolitical science

Abstract

fetched live from OpenAlex

The concerns of young stroke survivors are not well known. The aim of this paper is to draw on data from a larger study to show that young women who survived a hemorrhagic stroke desire access to peer support, but there is not widespread access to peer support. Open-ended interviews were conducted with an international sample of 28 women to learn about their poststroke experiences and were analyzed qualitatively for common issues and themes. A prominent theme across the interviews was the significance of age-similar peer support. Participants discussed feeling alone and misunderstood and wanting to have access to peer support. In conclusion, peer support may help to enhance psychological well-being, but the survivor’s own understanding of her peers must be centrally considered.

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)0.006
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.263
Teacher spread0.248 · 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

Citations3
Published2014
Admission routes2
Has abstractyes

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