Contemplating Infrastructure: An Ethnographic Study of the University of Toronto Faculty of Information Inforum’s iRelax Mindfulness Resource Area
Bibliographic record
Abstract
Created in 2016, the iRelax area is an innovative meditation and yoga resource hub situated within the University of Toronto Faculty of Information’s Inforum. Comprised of approximately fifty interconnected digital, physical, and textual resources, the iRelax area possesses a distinctly open and visible spatial profile intended to promote open conversations about mental health. This ethnographic case study of the iRelax area examines the initiative’s aesthetic, informational, organizational, and spatial properties, as well as individuals’ encounters and interactions therewith. The iRelax area’s associated Mindful Moments program, or free, guided meditation sessions offered within the learning commons one day per week, is also examined. In order to develop a detailed understanding of the relationship between the iRelax area and this program, the study’s design was broadened to include consideration of contemplative inquiry as a complement to ethnography. The study casts the iRelax area and its associated Mindful Moments program as contemplative infrastructure.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".