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Record W7163062682 · doi:10.6082/wms1h-6hb74

Parasitic and Symbiotic – The Ambivalence of Necessity

2012· article· en· W7163062682 on OpenAlexaboutno aff
Matthew Wolf-Meyer, Samuel Gerald Collins

Bibliographic record

VenueUniversity of Chicago · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicPaleopathology and ancient diseases
Canadian institutionsnot available
Fundersnot available
KeywordsAmbivalenceSemioticsConversationField (mathematics)Applied anthropology

Abstract

fetched live from OpenAlex

This issue of Semiotic Review began accidentally, when, in 2010, we began talking about the possibility of parasites and anthropology for the purpose of putting together a panel for the American Anthropological Association meetings in Montreal, it came out of mulling over the recent turn to "multispecies" anthropology, and reflecting on the role of Anthropology in the contemporary American university. Our interest at the time was to bring together anthropologists from across the field to consider parasites of all sorts: the organic and inorganic, the individual and institutional, the actual and the virtual. What our panelists – many of whom are represented in this issue of Semiotic Review – brought us were papers that did precisely that work, and much of their analyses were soundly within the tradition of semiotics, which opened up the possibility of translating that panel into this issue, and to open up the conversation to others interested in the parasite and its figurations. In this brief introduction, we review our thinking that led to the panel and eventually this issue, thinking that stems from trends in anthropology regarding multispecies analysis and the place of Anthropology more generally. We conclude by offering some suggestions on how parasites might help us thinking about societies, subjects and semiotics.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.404
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.019
GPT teacher head0.195
Teacher spread0.176 · 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 designObservational
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
Published2012
Admission routes1
Has abstractyes

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