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Record W7057167514

Gümüşhane il merkezinde evde yaşayan yaşlılarda yeti yitimi ve aleksitimi / Disability and alexithymia in elderly people living at home in the center of gümüşhane

2014· other· tr· W7057167514 on OpenAlexaboutno aff

Bibliographic record

VenueDSpace - FIRAT (Fırat University) · 2014
Typeother
Languagetr
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaCenter (category theory)Elderly peopleDisease
DOInot available

Abstract

fetched live from OpenAlex

Disability and Alexithymia in Elderly People Living at Home in The Center of GmhaneDisability and alexithymia in old age are the significant concepts that can affect the health conditions and social lives of people.The aim of this study is to evaluate the characteristics of disability and alexithymia that the elderly, living in Gmhane city centre, suffer from.This cross-sectional study is made by reaching 437 of 450 elderly people (65 and above) registered to 14 family practice units located in Gmhane city centre, selected by systematic sampling.Sampling was performed with a questionnaire, involving Questionare Brief Disability (BDQ) and the Toronto Alexithymia Scale-20 (TAS-20), in face to face interviews.Results were evaluated using a statistical sofware program.The average age of the elderly enrolled in the study is 74.327.15, of which 63.4% are female and 36.6 % are male.While the avarage score of BDQ of elderly is 10.255.03,their TAS-20 average score is 49.289.58.A different range of grades of disability was determined with 86% of the elderly.It was determined that being a woman, widowed/divorced, having a low level of education, having any kind of mental problems, increase in the constraint in mobilization, lack of exercise, having a poor health of perception regarding general-physical-mental-emotional and social health levels boost the average scores of both BDQ and TAS-20 (p<0.05).The total alexithymia scores of those

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0630.000

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 head0.008
GPT teacher head0.208
Teacher spread0.200 · 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 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

Citations0
Published2014
Admission routes1
Has abstractyes

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