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Record W2060640995 · doi:10.1080/08952841.2011.587730

Aging of Indian Women in India: The Experience of Older Women in Formal Care Homes

2011· article· en· W2060640995 on OpenAlex
Jyotsna M. Kalavar, D. Jamuna

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Women & Aging · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsKensington Health
Fundersnot available
KeywordsChildlessnessGerontologyVulnerability (computing)ClosenessSpouseMedicinePopulationFertilitySociologyEnvironmental health

Abstract

fetched live from OpenAlex

The feminization of aging is a process that has begun in India but is not occurring uniformly throughout India. Older women are more likely to be widowed, poor, and suffer vulnerability to adverse outcomes like poor health. With the changing social landscape of India, middle-income older women are increasingly opting for 'pay and stay homes', an emerging type of old age home in India. Majority of the 97 women residents of 'pay and stay' homes reported being widowed (68%), and 25% were childless. Childlessness and widowhood were important considerations in the decision to relocate to an old age home. Older women reported higher degrees of psychological closeness and contact with daughters than sons, and the overall social network size was small. High prevalence of diabetes rates among older women carries implications for potential functional disability. Strong advocacy measures for empowering older women in India should be a priority policy directive.

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.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.009
GPT teacher head0.260
Teacher spread0.251 · 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