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Record W4210551176 · doi:10.1080/07053436.2021.1999087

Participation in a poetry festival in a seniors’ residence in Quebec: For the safeguarding of Cultural Capital (<i>habitu</i>s)

2021· article· en· W4210551176 on OpenAlexaffvenueabout
Andrée Desjardins, Maryse Paquin

Bibliographic record

VenueLoisir et Société / Society and Leisure · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsHabitusCultural capitalResidencePoetrySafeguardingCapital (architecture)SociologyGender studiesPsychologySocial scienceArtVisual artsMedicineLiteratureDemographyNursing

Abstract

fetched live from OpenAlex

There is a considerable deficit in the offer of cultural leisure activities in Quebec seniors’ residences, even though one third are interested in them. These seniors possess what Bourdieu calls Cultural Capital (habitus). This Capital promotes self-confidence and a sense of belonging. The main objective of this research is to better know and understand participation in a poetry festival in a seniors’ residence. It aims to compare the cultural leisure activities practiced during youth with those of today, as well as to understand the benefits that seniors derive from their participation in the poetry festival. Finally, it seeks to better define the cultural experience as lived by the participants. To achieve these objectives, a case study was conducted using a qualitative approach. The results show the importance of having a varied offer of cultural leisure activities, including poetry, for the safeguarding of Cultural Capital (habitus) among seniors in Quebec residences.

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)0.001
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 score0.182
Threshold uncertainty score0.367

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.039
GPT teacher head0.346
Teacher spread0.307 · 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

Citations0
Published2021
Admission routes3
Has abstractyes

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