<i>As If</i>: Connecting Phenomenology, Mirror Neurons, Empathy, and Laughter
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The discovery of mirror neurons in both primates and humans has led to an enormous amount of research and speculation as to how conscious beings are able to interact so effortlessly among one another. Mirror neurons might provide an embodied basis for passive synthesis and the eventual process of further communalization through empathy, as envisioned by Edmund Husserl. I consider the possibility of a phenomenological and scientific investigation of laughter as a point of connection that might in the future bridge the gap Husserl feared had grown too expansive between the worlds of science and philosophy. Part I will describe some implications of the discovery of mirror neurons. Part II will address Husserl’s concept of embodiment as it relates to neuroscience and empathy. Part III will be a primer to investigating laughter phenomenologically. Part IV will be a continuation of the study of laughter and empathy as possible elements helpful in broadening the scope of what Husserl calls the Life-World.
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.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it