You Want Me to Draw What? Body Mapping in Qualitative Research as Canadian Socio-Political Commentary
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There is a scarcity of literature written about body mapping as a method to understanding mindfulness practice, and even fewer examples of how to undertake this type of research in a tangible way. In this article, we discuss how body mapping was used as part of a qualitative study investigating working mothers' mindful practices. We present a novel approach to integrating mindfulness-based techniques with SOLOMON's body mapping method. We illustrate our experiences by 1. sharing an overview of body mapping as a method, and 2. reviewing practical issues we encountered including: a) ethical issues, b) how to approach analysis, and c) body mapping within social research. Body mapping can be a fun and expressive experience for participants of social research. It can also be a confusing and overwhelming experience for researchers and participants new to the method. Through the article, we offer some insights and assurances about how to proceed with body mapping projects, including details such as how to generate questions for body mapping sessions, and a thorough consideration of steps to consider for analysis.
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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 | 0.066 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.010 |
| Science and technology studies | 0.035 | 0.019 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.014 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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 it