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Record W2059692190 · doi:10.1080/01924780802563187

Future Challenges for Senior Center Programming to Serve Younger and More Active Baby Boomers

2008· article· en· W2059692190 on OpenAlexaff
Tanya R. Fitzpatrick, James McCabe

Bibliographic record

VenueActivities Adaptation & Aging · 2008
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsMcGill University
Fundersnot available
KeywordsBaby boomBaby boomersFace (sociological concept)GerontologyMedical educationPsychologyPublic relationsMedicinePolitical scienceSociologyPopulation

Abstract

fetched live from OpenAlex

Misconceptions and myths regarding the image of senior centers need to be overcome especially among the baby boom generation. Although past research and programming have addressed the traditional model of senior centers, little attention has focused on senior center programs and activities that address the needs of younger and more active older adults. Aging and adult services, specifically, senior centers, face challenges in maintaining their role in the community through and beyond the next decade. This article discusses the challenges senior centers face and suggests new approaches for programming and activities that will enable senior centers to make the transition whereby they engage baby boomers in utilizing their services while continuing to address the needs of the present users of senior centers.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.002
Scholarly communication0.0040.002
Open science0.0020.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0160.002

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 head0.063
GPT teacher head0.356
Teacher spread0.292 · 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 designNot applicable
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

Citations32
Published2008
Admission routes1
Has abstractyes

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