Homo Mimeticus II : Re-Turns to Mimesis
Bibliographic record
Abstract
<p><strong>Second volume in the Homo Mimeticus mini-series, which advances the emerging transdisciplinary field of mimetic studies</strong></p><p>After the linguistic and the affective turns, the new materialist and the performative turns, the cognitive and the posthuman turns, it is now time to re-turn to the ancient, yet also modern and still contemporary realization that humans are mimetic creatures. In this second installment of the <em>Homo Mimeticus</em> series, international scholars working in philosophy, literary theory, classics, cultural studies, sociology, political theory, and the neurosciences engage creatively with Nidesh Lawtoo's <em>Homo Mimeticus: A New Theory of Imitation</em> to further the transdisciplinary field of mimetic studies.</p><p>Agonistic critical engagements with precursors like Plato, Aristotle, Nietzsche, Bataille, Irigaray and Girard, involving contributions by leading international thinkers such as Mikkel Borch-Jacobsen, William E. Connolly, Henry Staten and Vittorio Gallese among many others, reveal the urgency to rethink mimesis beyond realism. From imitation to identification, mimicry to affective contagion, techne to simulation, mirror neurons to biomimicry, homo mimeticus casts a shadow—but also a light—on the present and future, from social media to the Anthropocene.</p><p><strong>Watch the recordings of the 'Homo Mimeticus II' book launch:</strong> <a href="https://www.youtube.com/watch?v=nNKlTex1SaY">https://www.youtube.com/watch?v=nNKlTex1SaY</a></p>
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.023 |
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".