Aggregates, Formational Emergence, and the Focus on Practice in Stone Artifact Archaeology
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
Abstract The stone artifact record has been one of the major grounds for investigating our evolution. With the predominant focus on their morphological attributes and technological aspects of manufacture, stone artifacts and their assemblages have been analyzed as explicit measures of past behaviors, adaptations, and population histories. This analytical focus on technological and morphological appearance is one of the characteristics of the conventional approach for constructing inferences from this record. An equally persistent routine involves ascribing the emerged patterns and variability within the archaeological deposits directly to long-term central tendencies in human actions and cultural transmission. Here we re-evaluate this conventional approach. By invoking some of the known concerns and concepts about the formation of archaeological record, we introduce notions of aggregates and formational emergence to expand on the understanding of how artifacts accumulate, what these accumulations represent, and how the patterns and variability among them emerge. To infer behavior that could inform on past lifeways, we further promote a shift in the focus of analysis from the technological and morphological appearance of artifacts and assemblages to the practice of stone use. We argue for a more rigorous and multi-level inferential procedure in modeling behavioral adaptation and evolution.
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 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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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