Bibliographic record
Abstract
Roberto Marchesini is an Italian philosopher and ethologist whose work is significant for the rethinking of animality and human–animal relations. Throughout such important books as Il dio Pan (1988),Il concetto di soglia (1996), Post-human (2002), Intelligenze plurime (2008), Epifania animale (2014), and Etologia filosofica (2016) he offers a scathing critique of reductive, mechanistic models of animal behaviour, as well as a positive contribution to zooanthropological and phenomenological methods for understanding animal life. Centred on the dynamic and performative field of interactions and relations in the world, his critical and speculative approach to the cognitive life sciences offers a vision of animals as acting subjects and bearers of culture, whose action and agency is also indispensable to human culture. In tracing the ways in which we share our lives and histories with animals in different contexts of interaction, Marchesini's cutting-edge philosophical ethology also contributes to an overarching philosophical anthropology of the human as the animal that most requires the presence and input of other animals.
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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.278 | 0.139 |
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".