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Record W2971753243 · doi:10.46409/sr.xens9035

Promoting Productive Aging among Low-Income Older Adults

2019· dissertation· en· W2971753243 on OpenAlexaboutno aff
Sarah Matsuoka

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGerontologyIndependent livingCapstoneLow incomeActivities of daily livingPopulation ageingLow income housingPsychologyPopulationMedicineEnvironmental healthEconomic growthSocioeconomicsSociologyEconomicsComputer science

Abstract

fetched live from OpenAlex

Productive aging is a topic of great significance due to the increasing older adult population. Interfaith provides services to older adults in low-income housing to help support their abilities to remain more independent as they age. The purpose of the capstone was to gain understanding of marginalized older adults instrumental activities of daily living (IADL) performance issues. The preliminary objectives were to (1) establish an understanding of the needs of the older adults; (2) perform in-depth interviews for the needs assessment; (3) assess current resources available in North County San Diego; and (4) develop a program incorporating recommendations to increase occupational performance. Methods: Convenient sampling of 33 participants that includes interviews and observations of Interfaith seniors and staff. Interview of older adults was adapted from the Canadian Occupational Performance Measure (COPM) and the Occupational Performance History Interview-II (OPHI-II). Data was used for thematic identification to determine areas of decreased occupational performance to develop a program to be incorporated into Interfaith's senior services. Results: Areas of decreased occupational performance identified included: (1) community mobility, (2) home establishment and management, (3) leisure participation, and (4) social participation. Findings support previous literature of areas of decreased performance. Based on results, it is also important to include home establishment and management an area to increase occupational performance. The program was provided in the form of staff training and the development of a resource binder for Interfaith case management to use as training and as resources for seniors.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.270
Teacher spread0.265 · 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 designQualitative
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
Published2019
Admission routes1
Has abstractyes

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