Bibliographic record
Abstract
In this article, David MacMurray Smith seeks to open a door into a discussion about our clown nature. He proposes that our clown nature is an inherent set of characteristics naturally resident within us as a circumstance of being human and, further, that it plays an integral role in helping us to realize and develop the potential of our human minds. The article looks at ways the clown nature can help free our minds from limited thinking and then explores some ways that the clown nature supports the integration and evolution of a more expressive and fully embodied mind. The article begins with a philosophical viewpoint from German novelist/poet/painter Hermann Hesse about the mind’s expansive capabilities. It then unpacks this philosophy using the lens of a clown routine to help demonstrate how the clown’s performance awakens the clown nature in us all and provides us with the agency to animate the capability of the human mind to pass beyond its present boundaries. Then it moves on to speculate some about the makeup of the human mind and how it consists of a thinking brain and a thinking body that are united into action through our physical being. The author takes the view that the body and mind are virtually inseparable within an integrated, cohesively functioning organic system that is the frame and format for the expression, realization, and continuous emergence of our minds. Further, without the characteristics of our clown nature, this whole organic system of our minds would not be able to function.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.032 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".