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Record W1991203693 · doi:10.1177/10573802011003002

Falling Short of the Mark

2002· article· en· W1991203693 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClinical Nursing Research · 2002
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFalling (accident)PhotovoiceNovellaGerontologyQualitative researchNursingPsychologyMedicineSociologyVisual artsPsychiatry

Abstract

fetched live from OpenAlex

The purpose of this qualitative study was to explore the everyday issues, challenges, struggles, and needs of elderly, community-dwelling women in the first weeks posthospital discharge. Fourteen elderly women were interviewed in their homes 6 to 8 weeksfollowing hospitalization. In addition, using a process based on photo novella or photovoice, 4 of the women took photographs of their everyday lives. The photos were used as triggers during the interviews. The interviews were analyzed to identify the themes of the women's experiences. The overarching theme was that hospital discharge plans "fall short of the mark" because theyfailed to reflect the complexity of the posthospitalization experience by focusing primarily on very basic physical and medically related needs rather than on the reality of the women's recovery. These findings are alarming given the aging population. The implications for hospital discharge planners, home care service providers, and policy decision makers are discussed.

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.

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)0.005
metaresearch head score (Gemma)0.003
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 score0.710
Threshold uncertainty score0.938

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.439
GPT teacher head0.614
Teacher spread0.176 · 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