“It’s always an admixture of so many identities”: Interpretative Phenomenological Analysis of Indigenous Kalasha Cultural Identity
Bibliographic record
Abstract
This case study examined how an Indigenous Kalasha participant in northern Pakistan makes sense of his multi-faceted identity. The interpretative phenomenological analysis method was used to analyze data from an in-depth, single person case study. Our selected participant was a 36-year-old male postgraduate student from an Indigenous marginalized tribe, which is an ethnic and religious minority group in the northern Hindukush mountain region of Pakistan. Results are presented in four superordinate themes: (1) Identity: admixture of a number of identities, (2) Changing culture and its psychological impact, (3) Cultural protective factors against psychological problems and (4) Mental health perspective. The findings explained the construct of “identity” in an indigenous way that takes varying forms ranging from admixture of identities (ethnic and national identities) to how globalization, transition, and adaptation processes have been disrupting the practice of Kalasha cultural traditions. The findings also revealed the factors deeply enrooted in Kalasha culture and traditions that have helped people maintain their psychological resilience and buffered against psychological problems. This paper is presented as an appropriate method for advancing psychological understanding of “cultural identity” and exploring the connections between the two constructs of “mental health” and “identity.”
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| 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".