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wake_ в посте Metapractice (оригинал в ЖЖ)
The creation of Neuro-Linguistic Programming (NLP) represents a superb example of collaboration. I could not have created NLP by myself nor do I believe, could have Richard Bandler. Each of us brought specific talents and capabilities to the endeavor, not the least of which was the ability to work as a team. For some six years, we worked side by side as researchers, provoking, supporting, challenging and amusing one another in our efforts to codify excellence in terms that made it available to the rest of the world.
Both as individuals and as a team, we followed the strategy of Acting As If impeccably and offered one another continuing challenges, stimulation and feedback as we developed the representations of the patterns that presently define the Classic Code in NLP. While it may be possible to distinguish partially the initial strengths of each of us, there was a deep cross-training that occurred in our collaboration through which we learned from one another how to carry out the extraordinary feats that have set the historical standard for NLP practice – both at the level of modeling as well as in its applications. I therefore recognize with pleasure the essential historical contribution of Richard Bandler as the co-creator alongside myself of the technology of NLP, and I specifically offer him even now my congratulations and best wishes in his continuing work.
Those readers in search of a model of excellent collaboration will do well to step past the present state of affairs between us and focus on the work accomplished by the two of us in the period 1973 through 1979.
Whispering in the Wind by Carmen Bostic St. Clair and John Grinder, page 120
As I (JG) hope the above statement makes clear, I am quite proud of the patterning that Bandler and I accomplished together. We were breaking entirely new ground and managed to make a significant contribution. Nevertheless, as part of this trial and error experimentation, we made decisions, especially in the coding phase of our collaboration that in retrospect require correction. We will proceed by offering and then analyzing a prototypic anchoring format – a generalization over the set of anchoring patterns coded and presented in the classic code and in wide use in applications in NLP: