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Record W4391947668 · doi:10.1017/s0959774323000380

Reflections on a Counter-Humanist Archaeology: A Commentary on Greer 2023

2024· article· en· W4391947668 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

VenueCambridge Archaeological Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPosthumanHumanismScholarshipAnthropocentrismSociologySilenceArgument (complex analysis)CraftPosthumanismEnvironmental ethicsAnthropologyAestheticsEpistemologySocial scienceHistoryArchaeologyPhilosophyLawPolitical science

Abstract

fetched live from OpenAlex

In ‘Humanist Missteps’, Matthew Greer makes the pointed observation that non-anthropocentric frameworks, including symmetrical, object-oriented and posthuman feminist archaeologies, have primarily focused on deconstructing the human–non-human binary while failing to problematize humanist assumptions about who counts as Human. At the core of Greer's argument is the matter of citational practice: which social theorists are archaeologists referencing in their efforts to craft relational approaches to humans, things, animals and plants? In answering this question, the author points to a notable lack of Black Studies theorists, particularly the work of Sylvia Wynter, Zakkiyah Jackson and Tiffany King, in posthumanist archaeologies. While I agree with Greer's critiques, his essay stops short of explaining this citational silence. In this brief commentary, I suggest that this absence of Black Studies scholarship reflects the fact that the discipline of archaeology remains a ‘white public space’ (Brodkin et al. 2011: 545) and maintains an artificial division between analysis and activism.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.070
GPT teacher head0.399
Teacher spread0.329 · 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