Bibliographic record
Abstract
This PhD research focuses on young people’s religious identities and wellbeing in contemporary western and predominantly secular societies. Specifically, I examined how young Muslims experience and navigate their religious identities and beliefs while growing up in a Muslim minority context. In so doing, I depart from a geographic perspective. The main purpose is to explain the role of places in how young Muslims navigate their religious identities and beliefs while moving from youth to young adulthood, and to explore how these processes relate to wellbeing. The experiences and perceptions of a diverse group of young Muslims are centralised by focusing on how they 'live' religion, perceive their changing religious identities and beliefs, and if and how the spatial context mattered in that regard. A qualitative research approach is adopted, and fieldwork took place in three different research urban contexts: Newcastle upon Tyne, UK, Vancouver, Canada, and Groningen, The Netherlands. In-depth interviews and map-making techniques were used to collect data. This led to rich data enveloping diverse individual narratives which included the spatiotemporal complexities of identity, belonging, lived religion, and wellbeing. The chapters of this thesis provided empirical, theoretical, and methodological insights that contributed to the main purpose of this thesis. One of the claims is that in order to become more inclusive towards Muslims, it is essential to create places for religion in the public domains of western and predominantly secular societies. Places for religion does not refer to designated ‘religious’ or ‘sacred’ places.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".