Drawing Religious Information Experiences Across Time: Timelines as a Graphic Elicitation Method
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
Visual, arts-based methods are widespread in other social sciences but remain marginal in information science. Applying “timelining” (Sheridan, Chamberlain, and Dupuis, 2011) in information research can expand our understanding of connections among information, time, affect and inexpressible religious experiences, while fostering collaboration between researchers and participants and across disciplines.Les méthodes s’appuyant sur les arts visuels sont très répandues dans les autres sciences sociales, mais elles demeurent marginales dans les sciences de l'information. L'utilisation de la mise en séquence chronologique (Sheridan, Chamberlain, et Dupuis, 2011) dans les sciences de l'information est susceptible d’élargir notre compréhension des liens entre l’information, le temps, les affects et certaines expériences religieuses inexprimables, tout en favorisant la collaboration entre les chercheurs et les participants dans toutes les disciplines.
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 | 0.002 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.023 |
| Open science | 0.002 | 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