Bibliographic record
Abstract
This article introduces letting be as a transformative third gesture of presencing within Dynamic Presencing (DP) (Gunnlaugson, 2020-2025), introducing a new ontological region within the presencing process—beyond the familiar Theory U-based sequence of letting go and letting come. As a foundational gesture, letting be grounds the presencing process by offering a space for indwelling through the Five Level-Depths of Presence (Gunnlaugson, 2025). Integrated into the DP method, this gesture initiates an apprenticeship that shifts presencing from a way of knowing into an emerging presencing-based way of being. This article explores the pivotal and multifaceted contributions of letting be in stabilizing presence, cultivating relational and ontological depth, and fostering the presencing practitioner’s capacity to embody presencing across both individual and collective contexts of practice. Through these and other contributions, letting be reorients the presencing process beyond the Theory U (TU) (Scharmer, 2007-2018) framework, opening new ontological territory within presencing with particular relevance for applied domains such as leadership and coaching, while supporting the ongoing development of presencing practice.
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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 | 0.026 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.005 | 0.034 |
| Scholarly communication | 0.010 | 0.017 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".