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Record W1974592433 · doi:10.1097/mrr.0b013e32831e7f54

Could stroke trigger be prevented by healthy family relationships?

2009· article· en· W1974592433 on OpenAlexafffund
Annie Rochette, Philippe Gaulin, M Tellier

Bibliographic record

VenueInternational Journal of Rehabilitation Research · 2009
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsHôpital du Sacré-Cœur de MontréalCentre for Interdisciplinary Research in RehabilitationUniversité de Montréal
FundersCentre for Interdisciplinary Research in Rehabilitation
KeywordsStroke (engine)FeelingHonestySpouseAmbivalencePsychologyQualitative researchSocial psychologyMedicine

Abstract

fetched live from OpenAlex

Although major stroke risk factors are well documented, little is known about which life circumstances are perceived to be related to the actual triggering of a first stroke. The purpose was to explore self-perceived spontaneously related life circumstances surrounding the trigger of a first stroke. A qualitative design with a phenomenological orientation was used. Nine individuals with a first stroke and less than 80 years of age were purposely recruited in 2 weeks after the stroke onset. An interview guide developed by experts was used. All interviews were transcribed verbatim and data analysis followed a rigorous process including team validation. All participants had in common a spontaneous reference to a family conflict regarding a specific event they tended to avoid surrounding the trigger of the stroke, which was temporarily resolved after the stroke onset. Essential themes emerging from the data refer to symbols such as a big heart and money issues as well as ambivalent feelings of responsibility, and guilt regarding social roles such as being a spouse or parent. This study provides a deeper understanding of the positive consequences the stroke had in temporarily resolving some family conflicts tainted by a lack of transparency and honesty regarding ambivalent feelings. Further exploration is needed as secondary prevention and health promotion campaigns could specifically target healthy transparent and honest family relationships as a potential protective factor against triggering a stroke, if these results are confirmed in future studies.

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)0.004
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.084
GPT teacher head0.454
Teacher spread0.369 · 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.

Study designNot applicable
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

Citations4
Published2009
Admission routes2
Has abstractyes

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