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Record W2030533652 · doi:10.11596/asiajot.1.12

Rehabilitation Challenges of Health Care for the Elderly in Japan

2001· article· en· W2030533652 on OpenAlexaff
Kumiko Terayama

Bibliographic record

VenueAsian Journal of Occupational Therapy · 2001
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsCanadian Association of Occupational Therapists
Fundersnot available
KeywordsRehabilitationPopulation ageingPaymentHealth careGerontologyLong-term care insuranceElderly peoplePopulationBusinessHealth insurancePublic healthMedicineEconomic growthEnvironmental healthNursingPhysical therapyFinanceLong-term careEconomics

Abstract

fetched live from OpenAlex

Japan has become an ultra-aging society as people over 65 years of age increase to 17% of the population. The Law of Public Care Insurance for the Elderly system commenced in April of the year 2000. As a result, the payment system for elderly care services was transferred from taxes to national health insurance. Community-based rehabilitation, which includes occupational therapy, will make even greater contributions to the ultra-aging society in Japan.

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 score0.872
Threshold uncertainty score0.207

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 studies0.0000.000
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 head0.084
GPT teacher head0.431
Teacher spread0.347 · 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

Citations1
Published2001
Admission routes1
Has abstractyes

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