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Record W3216506694 · doi:10.1111/amet.13046

How many worlds are there?

2021· article· en· W3216506694 on OpenAlexaboutno aff
Paul Nadasdy

Bibliographic record

VenueAmerican Ethnologist · 2021
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsIndeterminacy (philosophy)Social worldsEpistemologyPoliticsSociologyOntologyEthnographyFocus (optics)Possible worldColonialismParallel universeAnthropologyEnvironmental ethicsSocial sciencePhilosophyPolitical scienceLawComputer science

Abstract

fetched live from OpenAlex

ABSTRACT Questions about the nature of reality have lately become something of a preoccupation in anthropology. One prominent approach to such questions holds that different peoples inhabit distinct and incommensurable realities, or worlds. Although proponents of the “multiple‐worlds thesis” claim to be decolonizing social theory, their approach is beset by significant political and theoretical problems. I illustrate these problems by referring to my own ethnographic research in Canada's southwest Yukon. I then suggest an alternative approach: shifting the focus from multiplicity to indeterminacy. The indeterminacy framework can help us avoid the pitfalls of the multiple‐worlds thesis while leaving open the possibility that radically different understandings of the world might reveal something important about the nature of reality. Indeterminacy thus supports a more robust anti‐colonial politics than does the multiple‐worlds thesis. [ontology,indeterminacy,practice,indigeneity,Yukon]

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0090.023
Scholarly communication0.0110.012
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.056
GPT teacher head0.383
Teacher spread0.327 · 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 source (direct Gemma or distilled Codex), 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

Citations44
Published2021
Admission routes1
Has abstractyes

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