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Record W4383710488 · doi:10.2196/47568

Homeownership While Aging—How Health and Economic Factors Incentivize or Disincentivize Relocation: Protocol for a Mixed Methods Project

2023· article· en· W4383710488 on OpenAlexvenueno aff
Steven Schmidt, Susanne Iwarsson, Åsa Hansson, David Dahlgren, Maya Kylén

Bibliographic record

VenueJMIR Research Protocols · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRelocationProtocol (science)Aging in placeBusinessActuarial scienceComputer scienceGerontologyMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Many factors influence housing choices among older adults, but far from all have been identified. There is little systematic analysis that has included economic factors and virtually no knowledge about the interplay among perceived costs of moving, health status, and the mobility rate of older homeowners. It is currently unclear whether economic factors influence older adults' willingness to move, and the effects of economic policies on their actual behavior in the housing market are largely unknown. OBJECTIVE: The overarching objective of the AGE-HERE project is to develop knowledge of the relationship between health and economic factors that incentivize or disincentivize relocation during the process of aging. METHODS: This project uses a mixed methods convergent design across 4 studies. The initial quantitative register study and subsequent qualitative focus group study will nurture the evidence base and the development of a national survey. The final study will synthesize and integrate the results of the entire project. RESULTS: Ethical approval for the register study (DNR 2022-04626-01) and focus group study (DNR 2023-01887-01) has been obtained. As of July 2023, data analyses (register study) and data collection (focus group study) are currently being conducted. The first paper based on the register data is expected to be submitted after the summer of 2023. Three meetings have been held with the nonacademic reference group. The qualitative data will be analyzed in the autumn. Based on the results of these studies, a survey questionnaire will be developed and distributed nationally during the spring of 2024, followed by data analyses in the autumn. Finally, the results from all studies will be synthesized in 2025. CONCLUSIONS: Results from AGE-HERE will add to the knowledge base for research on aging, health, and housing and can play a critical role in guiding future policy decisions aiming to balance the housing market. Such developments may lower related social costs and support older adults to maintain active, independent, and healthy lives. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/47568.

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)0.079
metaresearch head score (Gemma)0.070
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.111
Threshold uncertainty score0.420

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0790.070
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0040.004
Science and technology studies0.0060.003
Scholarly communication0.0050.003
Open science0.0050.005
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.1110.020

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 head0.541
GPT teacher head0.644
Teacher spread0.103 · 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
GenreProtocol

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

Citations2
Published2023
Admission routes1
Has abstractyes

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