Information and contemplation: a call for reflection and action
Bibliographic record
Abstract
Purpose Americans increasingly feel a sense of wonder at the universe; meditation and yoga are on the rise; and a field known as Contemplative Studies has emerged. These indicators, among others, suggest a groundswell of interest in contemplative practice and contemplative experience and raise intriguing questions for information and Information Studies. Against this backdrop, this paper asks: How might Information Studies contribute to these developments? What is the relationship between information and contemplation? What can be explored on this research frontier? Design/methodology/approach This conceptual paper is based upon a synthesis of recent writings from the field of Contemplative Studies as well as conceptual analysis of selected papers and themes in Information Studies. It draws from discussion that occurred at a Session for Interaction and Engagement at the 2018 iConference, entitled “Contemplating Information in the Pleasurable and the Profound” (Latham et al., 2018). The authors' creative thinking and personal contemplative practices also infuse and fortify the work. Findings Popular and academic contemplative movements are afoot, and Information Studies has an opportunity to participate or be left behind. The field of Contemplative Studies has established the foundational concepts that can serve as contextual material for information research into contemplation. Upon closer inspection, Information Studies has already broached the topic of contemplation at various points in its history, theory, institutional practices, and information behavior research. The conceptual points of departure for a research frontier are articulated. Originality/value Beyond data, information, and knowledge are deeper and more profound aims, such as wisdom, which is related to contemplation. This paper supplies a rationale, scholarly community, conceptual resources, historical precedents, and guiding questions for bridging information and contemplation.
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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 | 0.142 | 0.113 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.023 | 0.158 |
| Scholarly communication | 0.041 | 0.069 |
| Open science | 0.008 | 0.035 |
| Research integrity | 0.021 | 0.058 |
| Insufficient payload (model declined to judge) | 0.006 | 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".