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Record W3124026600

Geographic Dispersion and the Well-Being of the Elderly

2010· preprint· en· W3124026600 on OpenAlexaboutno aff
Suzanne M. Bianchi, Kathleen McGarry, Judith A. Seltzer

Bibliographic record

VenueDeep Blue (University of Michigan) · 2010
Typepreprint
Languageen
FieldDecision Sciences
Topicdemographic modeling and climate adaptation
Canadian institutionsnot available
FundersAustralian GovernmentUniversity of MichiganU.S. Social Security Administration
KeywordsQuarter (Canadian coin)DemographyMedicaidPopulationGeographyHealth careMedicineDemographic economicsGerontologyPsychologySociologyEconomic growthEconomics
DOInot available

Abstract

fetched live from OpenAlex

Perhaps the largest problem confronting our aging population is the rising cost of health care, particularly the costs borne by Medicare and Medicaid. A chief component of this expense is long-term care. Much of this care for an unmarried (mostly widowed) mother is currently provided by adult children. The provision of family care depends importantly on the geographic dispersion of family members. In this study we provide preliminary evidence on the geographic dispersion of adult children and their older unmarried mother. Coresidence is less likely for married adult children, those who are parents and the highly educated and more likely for those who are not working or only employed part time and for black and Hispanic adult children. Close proximity is more common for married children who are parents but less common for the highly educated. When we look at transitions between one wave of data collection and the next (a 2-year interval), about half of adult children live more than 10 miles away at both points, a little less than one quarter live

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.019
GPT teacher head0.242
Teacher spread0.224 · 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 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
Published2010
Admission routes1
Has abstractyes

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