Exploring Drumming/Song and its Relationship to Healing in the Lives of Indigenous Women Living in the City of Winnipeg; A thesis submitted to the Faculty of Graduate Studies in partial fulfillment of the requirements for the Master of Arts in Indigenous Governance degree, Department of Indigenous Studies, The University of Winnipeg
Bibliographic record
Abstract
This is an exploratory study on drumming/song and its relationship to healing in the lives of Indigenous women living in the City of Winnipeg. The participants of this study included urban-based Indigenous women actively involved in drumming and song. An Indigenous research framework was employed using the drum as methodology in exploring and understanding Indigenous ways of knowing and being. The researcher used Indigenous searching methods (“talking circles” and the “Anishinaabe-Symbol Based Reflection” activity) to gather the women’s personal stories as they related to the topic of the study. The women identified the healing benefits of drumming/song from a holistic perspective, meaning emotional, mental, physical, and a central focus on the spiritual dimension. The outcome of the study demonstrates that Dewe-i-gan (drum) provides a holistic healing approach within the lives of the women based on Indigenous ways of seeing, understanding, and being in the world that extends beyond the mere act of drumming.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".