A Culturally Grounded Approach to Nepalese Grandmothers’ Caring Work: Developing Dohori as a Narrative Methodology
Bibliographic record
Abstract
The social sciences have a growing seismic shift from prioritising positivist, objective, and generalizable knowledge to accepting subjective qualitative knowledge. This has given rise to various art-based methods that leverage multi-sensory storytelling/narrative. To further advance innovation in qualitative narrative methods, I will present the Dohori narrative, an indigenous Nepali poetic storytelling method for narrative research with older grandmothers doing care work. I start by presenting a discourse on Dohori to understand better the history and traditional and cultural underpinning of the method. Provided a brief background to Nepali grandmother immigrants and then discussed the promise of Dohori as a form of culturally relevant narrative interviewing with this population. To demonstrate this, I provide an examplar case study adopting a conventional narrative interview and then Dohori to show the differences. The study showed that Dohori has the potential to elicit stories, emotions, and tacit knowledge and access other areas of consciousness that traditional narrative interviews are not privy to. I conclude by arguing for the adoption of Dohori and similar dialogical poetic methods for research with indigenous populations, especially minority groups with limited voice.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".