Spiritual and religious information experiences: An Annual Review of Information Science and Technology (ARIST) paper
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This chapter examines the contours of the religious and spiritual information experiences subfield through a review and content analysis of selected contributions from the past two decades in both information science and related fields. The research question that guides this review is: How have spirituality and religion been conceptualized in information science? Our focus has been on the LIS literature along with the fields of information behavior/practice/literacy, as well as related fields such as human–computer interaction (HCI), media and digital studies, religious studies (including sociology and anthropology of religion or religious tourism). Our aim was to highlight the ways in which the information science literature has contributed to advancing these conversations (using a collections/service/user experience or practice lens), but also how the discussions around the sacred, lived religion, contemplation, conversion or techno‐spiritual practices (to name a few) have provided insights into information phenomena and processes. We also discuss the evolution of, and practices associated with, social media and digital practices as well as a discussion of representation (or the lack thereof) of less mainstream religious and spiritual traditions in the literature reviewed. We end with suggestions for future research directions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.020 |
| Open science | 0.001 | 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 it