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Record W2613232113 · doi:10.1017/s0714980817000058

Perceived Support and the Retirement Expectations of Sexual Minority Adults

2017· article· fr· W2613232113 on OpenAlexaff
Steven E. Mock, Emily Schryer

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPsychologyDevelopmental psychologySocial psychologyGerontologyMedicine

Abstract

fetched live from OpenAlex

Despite the importance of retirement planning among an aging population, little is known about the retirement planning of sexual minority adults (e.g., gay, lesbian, bisexual) and their potentially unique challenges. We compared retirement planning perceptions of these adults with heterosexual adults and examined the potential role of social support. There were no significant differences between sexual minorities and heterosexual adults regarding their expected retirement age, certainty of retirement age, and anticipated income adequacy in retirement, and higher levels of perceived support were associated with younger anticipated retirement age and greater certainty in retirement planning perceptions. Perceived support also had a stronger association with retirement planning perceptions for sexual minority adults compared to heterosexuals, such that lower perceived support was associated with a later retirement age and less certainty about retirement age, and lower levels of perceived support were linked to diminished anticipated retirement income adequacy for sexual minority adults.

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)0.001
metaresearch head score (Gemma)0.007
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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.065
GPT teacher head0.320
Teacher spread0.255 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicRetirement, Disability, and EmploymentFrench-language works237,207