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Record W2341368717 · doi:10.1080/0969725x.2016.1163059

EDITORIAL INTRODUCTION

2016· article· id· W2341368717 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAngelaki · 2016
Typearticle
Languageid
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPerformative utterancePhilosophical anthropologyEthologyEpistemologyHuman animalAction (physics)PhilosophySociologyAgency (philosophy)Cognitive sciencePsychologyDomestication

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.424
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.007

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.

Opus teacher head0.016
GPT teacher head0.298
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it