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Record W2173817144 · doi:10.3390/soc5040760

Aging and Resilience: Older Women’s Responses to Change and Adversity

2015· article· en· W2173817144 on OpenAlexaff
Cari Gulbrandsen, Christine A. Walsh

Bibliographic record

VenueSocieties · 2015
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychologyPsychological resilienceConstruct (python library)Developmental psychologyMeaning (existential)Identity (music)Qualitative researchConstructivist grounded theoryIntersectionalityGrounded theoryMental healthSocial psychologyGender studiesSociologyPsychotherapist

Abstract

fetched live from OpenAlex

The primary objective of the qualitative study was to describe women’s resilience in older adulthood according to older women’s interpretations of their experiences and the contexts of their lives. Intersectionality and critical feminist gerontology served as theoretical frameworks for examining, interpreting and highlighted the dynamic nature of intersecting identities and the interrelationships between identity and contextual factors. Constructivist grounded theory methodology was used to identify themes that represent older women’s subjective interpretations of their experiences with adversity and to construct definitions of resilience based on their experiences. The aspects of identity that women in the study associated with their experiences of adversity and their resilience were age, physical and mental health, marital status and income. Women in the study emphasized how subjective interpretations influenced the meaning they associated with events, circumstances, or changes that accompanied aging and their understanding of the role of identities in those experiences.

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)0.006
metaresearch head score (Gemma)0.008
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.008
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0010.002
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 head0.068
GPT teacher head0.390
Teacher spread0.322 · 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

Citations21
Published2015
Admission routes1
Has abstractyes

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