Reflexivity Through a Yoga Class Experience: Preparing for My Health Promotion Without Borders Excursion to Mongolia
Bibliographic record
Abstract
In this paper, I (S. L. Deibert) share my story of discovering the relationship between reflexivity, autoethnography, and yoga through a meaningful experience. Yoga has been an important influence on my physical and mental well-being for over a decade, but I did not consider its implications in my academic life until I was asked to write a reflexive assignment for a course. The task was exploring who I am in connection to my master’s thesis project; the challenge was finding a starting point for my reflexive journey of self-discovery. Frustrated by the latter, I turned to yoga for refuge; instead of escaping the assignment, I found that my quest for self-exploration was intertwined with my yoga practice. The purpose of this paper is to delve further into my experience with yoga as a medium for developing reflexivity. Using autoethnography, I share my journey of developing critical thinking through a narrative related to my yoga class experience. Linking my research to my yoga practice allowed me to better understand myself as a person and researcher, become mindful of how my own views shape my experiences, and develop a deeper level of critical reflection. Overall, this work demonstrates the experience of a connection between yoga, reflexivity, and autoethnography, and adds to the sparse literature exploring the intersection of these three.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".