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Record W2170803202 · doi:10.5539/ass.v7n10p161

Survey and Research on Physical Health Condition of Senior Citizens in Qingdao under the Social Background of Aging

2011· article· en· W2170803202 on OpenAlexvenueno aff
Xuan Chu

Bibliographic record

VenueAsian Social Science · 2011
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Training Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOverweightTest (biology)PsychologyGerontologyPhysical fitnessPhysical healthWork (physics)Function (biology)Quality (philosophy)Applied psychologyEnvironmental healthMedicinePhysical therapyBody mass indexEngineeringPsychiatry

Abstract

fetched live from OpenAlex

It is discovered through a test of almost ten indexes in the four aspects of body patterning, physiological function, physical quality and health condition of senior citizens in Qingdao and a comparison between this test and previous survey results, that physical condition of female is superior to that of male. However, with growth of age, physical condition of both female and male declines, and especially overweight and decline of cardio-pulmonary function account for a great proportion, which will necessarily exert influences upon the overall health condition. With regard to the problems existing in physical health condition of senior citizens, we have to take feasible and effective measures to promote physical health of the group of senior citizens. Study of this article will provide significant guidance in carrying out fitness program and developing mass sports activities in Qingdao, and, meanwhile, will offer scientific evidence for developmental program of senior citizens sports work in Qingdao.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

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

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 head0.411
GPT teacher head0.590
Teacher spread0.178 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2011
Admission routes1
Has abstractyes

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