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Archaeologies of Ontology

2016· article· en· W2487330303 on OpenAlexfundno aff
Benjamin Alberti

Bibliographic record

VenueAnnual Review of Anthropology · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
FundersMemorial University of NewfoundlandYork University
KeywordsMetaphysicsOntologyAnimismAnalogyEpistemologyAlterityPerspectivismIndigenousPhilosophyMaterialismOrthodoxyMateriality (auditing)RealismAnthropologySociologyHistoryArchaeologyAestheticsEcology

Abstract

fetched live from OpenAlex

Bruno Latour and Eduardo Viveiros de Castro provided the initial impetus for explicitly ontological research in archaeology. Their impact on archaeologists, however, has been quite different. What I call the “metaphysical archaeologists” trace their genealogy from Latour, though they are now equally influenced by “new materialism” and the “new ontological realism” ( Gabriel 2015 ). They have introduced an alternative metaphysical orthodoxy to archaeology. In contrast, Viveiros de Castro and colleagues have authorized the return of the grand ethnographic analogy to archaeology, particularly in the case of animism. A second, quite different tendency inspired by these same anthropologists is to engage with indigenous ideas as theories to reconfigure archaeological concepts and practice. I suggest that a point of convergence between the metaphysical and the latter anthropological approaches exists in their focus on the concept of alterity.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0040.048
Scholarly communication0.0070.012
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.264
Teacher spread0.253 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations284
Published2016
Admission routes1
Has abstractyes

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