MétaCan
Menu
Back to cohort
Record W2094661572 · doi:10.1017/s0144686x14001123

Seniors' narratives of asking (and not asking) for help after a fall: implications for identity

2014· article· en· W2094661572 on OpenAlexaffabout
Patricia A. Miller, Christina Sinding, Lauren E. Griffith, Harry S. Shannon, Parminder Raina

Bibliographic record

VenueAgeing and Society · 2014
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsInstitute for Work & HealthMcMaster University
Fundersnot available
KeywordsExcuseFeelingIndependence (probability theory)Identity (music)NarrativeValue (mathematics)PsychologySocial psychologyWorryPublic relationsNursingMedicinePolitical sciencePsychiatryLaw

Abstract

fetched live from OpenAlex

ABSTRACT Falls among community-dwelling seniors constitute a major public health concern because of the potential morbidity and mortality associated with the fall. This study examined the informal care networks accessed by Canadian seniors who had visited the Emergency Department as a result of a fall, and considered the implications of the processes of asking for and receiving help on the senior's identity. Four themes were identified. The first was valuing independence. The remaining three themes concerned threats to the participants' identities linked to the need to ask for or receive help from family and friends. They were: becoming indebted, feeling devalued and becoming a burden to others. Seniors were noted to excuse family members from the expectation of helping because of work and family commitments, and illness. Participants described a mutually beneficial relationship with friends wherein both parties valued their independence and provided assistance to the other when needed. Their comments suggested that assistance was viewed as a good to be traded among peers. Our findings indicate that seniors value their independence and may not seek help even when it appears to be available, if asking threatens valued identities. Health and social care practitioners and policy makers responsible for planning and delivery of services should take this into account in order to ensure the best possible care for injured community-dwelling seniors.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score0.566

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 studies0.0010.000
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 head0.383
Teacher spread0.352 · 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 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

Citations15
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueAgeing and SocietySame topicGeriatric Care and Nursing HomesFrench-language works237,207