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Record W4318828644 · doi:10.12775/ll.3.2022.001

Therianthropes in a Cartesian and an Animistic Cosmology: Beyond-the-Pale Monsters versus Being-in-the World Others

2022· article· en· W4318828644 on OpenAlexaff
Mathias Guenther

Bibliographic record

VenueLiteratura Ludowa · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsHybridityAmbiguityEpistemologyCosmologyNon-humanSociologyPhilosophyAestheticsAnthropologyLinguistics

Abstract

fetched live from OpenAlex

The nature of human-animal hybrid beings (or therianthropes) is examined in an Animistic (traditional San Bushman) and a Cartesian (Early Modern Western) cosmology. In each ontological ambiguity is imagined and conceptualized in different terms. One of them is through monstrosity, which, in the Western schema, is equated with human-animal hybridity. This equivalence threatens the boundaries and categories that buttress western cosmology, through a being – the human-animal hybrid – deemed a conceptual and epistemological abomination. It elicits a category crisis that is as much cerebral as it is visceral as the were-beings it conceives are feared and demonized. No such valences attach to therianthropes in the cosmology described in this paper. It is an “entangled” cosmology shot through with ambiguity and fluidity in which human-animal hybridity is neither abominable nor feared. Instead, as a pervasive and salient theme of San world view and lifeways, especially its expressive and ritual spheres, along with hunting, ontological mutability becomes an integral component of people’s thoughts and lives and thereby normalized and naturalized. Beings partaking of this state are deemed another species of being with whom humans engage as other-than-humans, on shared social terms. Monsters are beings who negate or transgress the moral foundation of the social order. San monstrosity, conceptually and phenomenologically, becomes thereby a matter of deviation from social (moral) pre/proscriptions rather than from classificatory (ontological) ones. This basic conceptual difference notwithstanding, we also find a fundamental commonality: the inversion, through monsters and monstrosity, of each cosmology’s underlying epistemic matrices, of structure and ambiguity, respectively.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.324
Teacher spread0.303 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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