Beyond Tools and Function: The Selection of Materials and the Ontology of Hunter-Gatherers. Ethnographic Evidences and Implications for Palaeolithic Archaeology
Bibliographic record
Abstract
In this paper we discuss the universal selection of exceptional materials for tool making in prehistory. The interpretation suggested in the literature for these non-standard materials is usually limited to a general statement, considering possible aesthetic values or a general, mostly unexplained, symbolic meaning. We discuss the implications of viewing these materials as active agents and living vital beings in Palaeolithic archaeology as attested in indigenous hunter-gatherer communities all around the world. We suggest that the use of specific materials in the Palaeolithic was meaningful, and beyond its possible ‘symbolic’ meaning, it reflects deep familiarity and complex relations of early humans with the world surrounding them—humans and other-than-human persons (animals, plants, water and stones)—on which they were dependent. We discuss the perception of tools and the materials from which they are made as reflecting relationships, respectful behaviour and functionality from an ontological point of view. In this spirit, we suggest re-viewing materials as reflecting social, cosmological and ontological world-views of Palaeolithic humans, and looking beyond their economic, functional aspects, as did, perhaps, our ancestors themselves.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.006 | 0.068 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".