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Record W2899659186 · doi:10.1093/geroni/igy023.2801

REPORTS OF SEXUAL PROBLEMS AMONG PARTNERED AND UNPARTNERED OLDER MEN AND WOMEN: DO THEY CARRY DIFFERENT MEANINGS?

2018· article· en· W2899659186 on OpenAlexaff
Linda J. Waite, James Iveniuk

Bibliographic record

VenueInnovation in Aging · 2018
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHuman sexualityPsychologySexual lifeSexual behaviorReproductive healthSexual dysfunctionCarry (investment)Clinical psychologyDevelopmental psychologySexual desireGerontologyMedicinePsychiatryDemographyGender studiesGynecologySociologyPopulation

Abstract

fetched live from OpenAlex

Although the sexuality of older adults has historically been ignored by both the medical and research communities, recent studies have examined sexual attitudes, behavior, and experiences of older men and women. One important measure of sexual health is recent experience of sexual dysfunction or problems. Sexual problems tend to increase in prevalence with age, but not all older adults experience sexual problems. Some stop having partnered sex because of sexual problems, most often in the male partner. Some with partners are sexually inactive. Some without partners masturbate for sexual release. This paper explores differences between these groups, in terms of how each responds to questions about their recent experience with sexual problems. Considering response patterns to these questions, we argue that these questions carry different meanings for members of each group. We discuss these differences, and appropriate uses of information on sexual problems in both clinical and research applications.

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)0.009
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.051
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0010.005
Scholarly communication0.0030.005
Open science0.0010.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.071
GPT teacher head0.398
Teacher spread0.328 · 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 designObservational
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
Published2018
Admission routes1
Has abstractyes

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