Ontologies of Rock Art:Images, Relational Approaches, and Indigenous Knowledges
Bibliographic record
Abstract
Ontologies of Rock Art is the first publication to explore a wide range of ontological approaches to rock art interpretation, constituting the basis for groundbreaking studies on Indigenous knowledges, relational metaphysics, and rock imageries. The book contributes to the growing body of research on the ontology of images by focusing on five main topics: ontology as a theoretical framework; the development of new concepts and methods for an ontological approach to rock art; the examination of the relationships between ontology, images, and Indigenous knowledges; the development of relational models for the analysis of rock images; and the impact of ontological approaches on different rock art traditions across the world. Generating new avenues of research in ontological theory, political ontology, and rock art research, this collection will be relevant to archaeologists, anthropologists, and philosophers. In the context of an increasing interest in Indigenous ontologies, the volume will also be of interest to scholars in Indigenous studies.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.009 | 0.015 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".