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Record W127958684

Promoting Safety and Aging in Place in Tacoma and the Surrounding Area

2013· article· en· W127958684 on OpenAlexvenueno aff
Amanda Fischels

Bibliographic record

VenueSound Ideas (University of Puget Sound) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAging in placeBusinessGerontologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

The majority of older adults would like to “age in place” by continuing to live in their homes as long as possible. Barriers that can prevent aging in place include normal age-related changes and falls, which can result in injury requiring hospitalization or long-term care. However, fall risk can be reduced with home modifications that increase the safety and accessibility of the home. Unfortunately, these modifications can be costly and often are paid out of pocket. Older adults do not always have the financial means to pay for home modifications, even when they could increase the safety within their home. The purpose of this project was to provide an educational manual for staff at Rebuilding Together South Sound (RTSS), an organization that provides free home modifications and repairs to individuals in need within the local community. The manual serves as a tool by providing staff information from safety evaluations completed on homes previously served by RTSS. This manual includes sections on age-related changes, common safety hazards discovered in the home, and recommendations for adapting the home to promote aging in place. Brochures are included to be distributed to homeowners and expand their knowledge on the ability to age in place through improved home safety. RTSS staff found the manual to be an effective resource for information to better serve clientele and to identify ways to improve the safety within their homes.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score0.913

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 studies0.0010.001
Scholarly communication0.0000.001
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 head0.011
GPT teacher head0.225
Teacher spread0.214 · 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 designTheoretical or conceptual
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
Published2013
Admission routes1
Has abstractyes

Explore more

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