Bibliographic record
Abstract
This article introduces a new phenomenological movement that deepens and transforms the presencing self through developmental shifts in awareness and being. Central to this inquiry is the mesa-turn, an embodied ontological shift that extends Robert Kegan’s subject-object theory of development. Whereas Kegan’s meta-shift emphasizes transformation in one’s self understanding through cognitive decentering and perspectival awareness, the mesa-turn invites practitioners into reclaiming deeper levels of ontological embodiment as a basis for presencing mastery. Drawing from Dynamic Presencing (DP) (Gunnlaugson, 2020-2025), this inward reorientation cultivates direct, somatic contact with the presencing self. This deepening unfolds through the Threefold Developmental Movement: 1) the meta-shift, which uncovers the presencing self through a perspective-taking process; 2) the mesa-turn, which re-roots practitioners in the embodied depths of their presencing nature; and 3) unitive resting, which anchors them in a deeper integrative state of being presence. Together, these three movements reconfigure one’s relationship with their presencing self by guiding a progression from dis-identification (meta-shift) to embodied re-identification (mesa-turn) to a re-configured, integrative identification within presence itself (unitive resting). This framework opens new developmental horizons for presencing leaders, coaches, and practitioners by shifting presencing beyond a way of knowing into a generative and sustained way of being.
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.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.023 |
| Scholarly communication | 0.006 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".