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Record W7054889717

The Benefits of Circus Arts Practice and Performance on Adolescent Wellbeing

2023· dissertation· en· W7054889717 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2023
Typedissertation
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsThe artsAffect (linguistics)Qualitative researchPerforming artsChild developmentCirque
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT
\nThe Benefits of Circus Arts Practice and Performance on Adolescent Wellbeing
\nMélanie-Beby Robert
\n
\nAs the circus arts continue to evolve in Quebec rapidly, there is an increasing interest in exploring this domain, particularly regarding its influence on child development. This study aims to understand how circus arts performances affect the wellbeing of adolescents. In this qualitative research, ten adolescents taking classes at the École de Cirque de Verdun were observed with a view to better understand their wellbeing through circus practice and performance. The data collection methods include observations, curated journals, and interviews. The study's findings encompass the participants’ definitions of wellbeing, the importance of healthy relationships, and the significance of having strong role models in their lives during adolescence. The results offer insights into how their circus rehearsal influences their wellbeing. These findings highlight that artistic expression, physical abilities, and personal growth collectively contribute to the comprehensive development of young individuals during this crucial life phase.
\n
\nKeywords: Circus education, adolescence, wellbeing, play, risk, socializing, circus performance, child development, Quebec circus.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.680

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.260
Teacher spread0.234 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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