Non Linear Approaches & Interventions using Nonsensical Tools and Humordrama on stage to Elicit Self Acceptance & Humor
Bibliographic record
Abstract
"The Patient should be instructed not just to accept his fear, but also to laugh at it. This requires courage to be ridiculous" (Viktor Frankl) The workshop will demonstrate non-linear interventions using clownish reduction, paradoxical interventions and nonsense on stage (theater\drama based), to help one in accepting and PLAYING his Narratives based on Weakness, Imperfection, Failure to perform a task, and out of Self-Acceptance to play, maximize and exaggerate his 'weak patterns'. The idea is to elicit Self-Humor in the protagonist without the need to fix oneself but rather having a distance from the situation, till the Fear and Self-Rejection are melting away. To do that we should know how to transcend beyond our Hyper-Critical Mind, Mental Turbulence & Inner Censorship. One should practice how to align with his right hemisphere and intuition. For that, we will use Improvisational tools and skills highlighting Nonsense, Gibberish Exercises and Zen oriented interventions (Humordrama). Viktor Frankl once said "Today I am going to have a stroke"- this was the beginning of Paradoxical Therapy based on Self-Humor and Nonsense, when one is encouraged to maximize and exaggerate his Fears, Imperfections and Shame - to admit them fully till they will pass away. In the workshop we will experiment with Non-Linear Solutions: what will happen if I stop to push gas in neutral sticking to an old way action based on my old belief system which supports my comfort zone, and from now on will adopt a new refreshing, beating, paradoxical, paralogical way of action...facing Uncertainity in the most playfool way (Paradoxical Decisions). 'If sense has not helped us so far it is the time to do something else, to play with Non-Sense'
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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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".