Aesthetics in negotiation: Part one: Four elements
Bibliographic record
Abstract
From Sun Tzu’s Art of War to Fisher and Ury’s Getting to Yes, negotiation advice is widely available. Each publication offers a window on the subject, drawing from particular theories of human nature and change.They serve a variety of ends and address a number of possible avenues to improving negotiation that vary according to context, culture and discipline. The publications explain strategy, structure and skills; they promise efficiency, effectiveness or success. What they do not provide is in-sight into the essential roles that beauty and nature — aesthetic elements — play in negotiation. Overlooked through lenses that accent utility and orderliness, beauty and natural metaphors introduce a range of sensual, embodied ways that our human thirst for belonging and for feeling moved is implicated in negotiation. When these ideas are introduced to the corpus of work on negotiation, the importance of intuition and relational capacities comes into focus. Negotiation becomes more vivid and compelling; fields of possibility appear that were unavailable via more analytic ways of imagining negotiation processes. Throughout this chapter, we tap into a significant 21st century vein of scientific, philosophical and aesthetic work that underlines ways we are all interconnected, portraying humans as porous beings with the ability for agency and mutual, multidirectional influence. What we previously believed as real — Cartesian duality of mind and body and separateness between individuals and objects — is a fast-fading myth. (Damasio1994; BenZion 2010) This significant shift in thinking has profound implications for our approach to negotiation. We follow a discussion of aesthetics and beauty with an exploration of how four elements — earth, water, air and fire — can assist with the project of expanding our effectiveness as negotiators. We examine how these elements help us to better build awareness — of ourselves, of other negotiators and of the context within which negotiation interactions unfold. By developing greater awareness of beauty and nature, negotiators can better navigate the emergent and complex nature of the negotiation process itself.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".