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Record W4280563909 · doi:10.1177/07334648221095623

Is it a Macho Thing? Older Adults’ Perceptions of Gender Differences inFall Prevention Class Participation

2022· article· en· W4280563909 on OpenAlexafffund
Catherine M. Arnold, Joel L. Lanovaz, Danelle Banman

Bibliographic record

VenueJournal of Applied Gerontology · 2022
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsUniversity of Saskatchewan
FundersSaskatchewan Health Research Foundation
KeywordsFall preventionSocializationFocus groupGerontologyPsychologyPerceptionSuicide preventionMedicinePoison controlDevelopmental psychologySociology

Abstract

fetched live from OpenAlex

Perceptions that women are in greater need of fall prevention might impact their participation in programs. This study aimed to understand gender differences in motivating factors and experiences in a fall prevention program. Thirty-four adults (18 men and 16 women) aged 60 years or older participated in focus groups after 12 weeks of fall prevention exercises and education. Six main themes emerged. It might be a macho thing represented an overarching theme of why men might not participate in fall prevention as readily as women. Personal experience as a motivator, Get my balance back, and Challenges/Successes were common themes for men and women. Both genders realized the benefits of the program; however, men emphasized the importance of personal outcomes ( Being part of something bigger), whereas women highlighted group outcomes ( Socialization). These findings can guide the future messaging and marketing of fall prevention programs for older 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)0.003
metaresearch head score (Gemma)0.005
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 score0.006
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.070
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

Citations2
Published2022
Admission routes2
Has abstractyes

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