Bibliographic record
Abstract
This qualitative study explores perspectives of curriculum through the lens of graduates from a collegial level circus arts program in Canada. Data were collected through participant interviews with students who had graduated within the past ten years. The overarching research question that guided this study was: How do graduates of a post-secondary circus school program perceive the design, content and delivery of the curriculum? Analysis of the data was conducted through the use of the constant comparison approach. It was through this process that multiple themes emerged from the data, which identified the characteristics of undertaking a career in circus arts. These themes included Pushing Borders, Living in a State of Disequilibrium and Constructing Families. Together, these three themes resulted in the fourth and overarching theme, Embracing Circus Life. The findings from this study suggest that applying constructivist teaching practices, fostering a community of learners, supporting the emotional development of students, having strong relationships with coaches and ensuring that the students perceive the courses as useful are essential in optimizing the students' perception of the program. This study is unique as it is one of the only studies that explore circus and academics. Whereas much of the teaching of circus arts lies in the historical trend of passing down knowledge, this study explores the present day context of circus whereby students can choose to pursue a degree in circus arts.Keywords: Circus, Curriculum Perspectives, Performance Arts Education
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".