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Record W3121262811 · doi:10.1080/14927713.2021.1874833

Dancing through life in a changing world: life course, historical time and serious leisure

2021· article· en· W3121262811 on OpenAlexvenueno aff
Satu Heikkinen

Bibliographic record

VenueLeisure/Loisir · 2021
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsRedressLife course approachPerspective (graphical)DanceSociologyPsychologyEveryday lifeQualitative researchGender studiesSocial psychologySocial scienceVisual artsPolitical scienceArt

Abstract

fetched live from OpenAlex

There is a lack of studies taking a life course perspective in the growing field of research on the social aspects of older people’s dance. This study aims to redress this negligence by exploring older people’s experiences of social dance through life by using a life course perspective. In the process of analysis, the theoretical framework was informed by the serious leisure perspective. Twenty-six qualitative interviews were conducted with older people active in dances originating from the Swedish folk park tradition. The results demonstrate how life events, historical events, social change, and individuals’ involvement affect experiences of social dance through life. The study also highlights experiences of discontinuity caused by social change, i.e. changes in the social world of folk park dance. By combining the life course perspective with assumptions from the serious leisure perspective the study contributes to research discussions about the need to contextualize the serious leisure perspective.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.008
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.283
Teacher spread0.258 · 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 designQualitative
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

Citations8
Published2021
Admission routes1
Has abstractyes

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