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Fatores associados à autonomia pessoal em idosos: revisão sistemática da literatura

2021· review· pt· W3137017068 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCiência & Saúde Coletiva · 2021
Typereview
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomyGerontologyPsychologySocial psychologyScopusMedicineMEDLINEPolitical science

Abstract

fetched live from OpenAlex

The scope of this article is to identify factors associated with personal autonomy among the elderly. It is a systematic review of analytical epidemiological studies selected from the PubMed, Web of Science, Scopus and Lilacs databases, without time and language constraints. The search located 3,435 articles and selection was conducted in two phases: reading of abstracts and entire articles, with inclusion and exclusion criteria, by two independent reviewers, resulting in seven selected studies. The risk of bias was assessed using the Newcastle-Ottawa Scale protocol. All studies included were of sectional design and analyzed autonomy from the perspective of the perception of increased autonomy. The instruments used were the Hertz Perceived Entity of Autonomy Scale and the Chinese version of Perceived Enactment of Autonomy Scale. The factors associated with the autonomy of the elderly identified were grouped by functionality, family relations, interpersonal relations, life perception, satisfaction with health services, demographic factors, schooling, general health status and quality of life. The study of personal autonomy among the elderly presented a multifactorial and biopsychosocial character, although it is a recent theme in which further research with more detailed scientific evidence is necessary.

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)0.006
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.587
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0110.003
Bibliometrics0.0010.004
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0080.015
Insufficient payload (model declined to judge)0.0080.006

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 head0.089
GPT teacher head0.429
Teacher spread0.340 · 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