Reflections on a Counter-Humanist Archaeology: A Commentary on Greer 2023
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.
Bibliographic record
Abstract
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.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it