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Record W2319428357 · doi:10.1080/01490400.2015.1095660

Perceptions of Power Within a Membership-based Seniors' Community Center

2016· article· en· W2319428357 on OpenAlexaff
Karen Gallant, Susan Hutchinson

Bibliographic record

VenueLeisure Sciences · 2016
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPower (physics)Center (category theory)Citizen journalismCitizenshipPerceptionSociologyPublic relationsPsychologySocial psychologyPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

As opportunities for citizenship diminish in everyday life amid increasing consumption and privatization, there is a growing realization of the importance of participation and citizen power, particularly for older adults. Gaventa's (1980) Gaventa, J. (1980). Power and powerlessness: Quiescence and rebellion in an Appalachian Valley. Urbana, IL: University of Illinois Press. [Google Scholar] concepts of visible, invisible, and hidden power and Arnstein's ladder of citizen power (1969) framed this study, which used participatory methods, including creation and facilitation of a members' group at a small seniors' center, to address the question: What are the factors that undermine or cultivate citizen power at a small community center for seniors? The data were organized under three power-related themes: powerlessness, reluctance to claim power, and claiming power. Findings suggest that negative social constructions associated with aging act as instruments of invisible power. Further, community center membership, to be considered meaningful, should be imbued with visible power, so that seniors can be involved in decision making and leadership.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.104
GPT teacher head0.440
Teacher spread0.335 · 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 teacher head, not a consensus.

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

Citations6
Published2016
Admission routes1
Has abstractyes

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