Researching the sacred: a conversation with Samuelson Appau, Russ Belk and Diego Rinallo
Bibliographic record
Abstract
Purpose Once the domain of theologians, sociologists and (religion) anthropologists, we have seen more recently how consumer researchers have enriched the study of spirituality and religion. Researching the sacred can be fraught with challenges, in and out of the field. Russell Belk, Samuelson Appau and Diego Rinallo address key questions, issues and conceptualisations in the scholarship on sacred consumption, contemplating the past and mapping future research avenues. A reading list is also included for those interested in joining the authors in this collective discovery of the sacred. Design/methodology/approach Contributors answered the following four questions: How has the study of sacred consumption evolved since you started researching the field? What would be the critical methodological issues that researchers need to consider when approaching the “sacred”? What are some of the key authors that have influenced your thinking? What do you think will be the key questions that researchers will need to focus on? Findings Rinallo, Belk and Appau’s reflections on studying the sacred provide food for thought for both novice and weathered researchers alike. Researching the sacred both shapes and is shaped by our positionality: by our insider/outsider status, our gender and race and our cosmovisions as believers or sceptics. Researchers should be mindful and reflective of their subject positionings as they approach, enter and leave the field. Researching the sacred requires an open mind as we broaden our vision of what constitutes the sacred. Such research calls for scholarly as well as phenomenological curiosity. Reading widely and across disciplines to better familiarise ourselves with our sacred context helps to craft novel and meaningful research. Originality/value This paper provides a multivocal genealogy of consumer culture work on religion and spirituality, methodological advice and reading resources for researchers.
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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 | 0.032 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.025 | 0.035 |
| Scholarly communication | 0.016 | 0.018 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.007 | 0.033 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".