From Wildcat, to Farm-hand, to Deity, to Laser Chaser: A Look at the Domestic House Cat
Bibliographic record
Abstract
This paper examines the journey of the domestic house cat, from its wild origins to its current status as a beloved companion. By delving into domestication, morphology, global dispersal, and cultural significance, the paper sheds light on the intricate relationship between humans and cats throughout history. The research explores the domestication timeline, highlighting key findings such as discovering ancient cat burials in Cyprus and Egypt and identifying the wildcat species Felis silvestris lybica as the ancestor of modern domestic cats. Additionally, it discusses the challenges researchers face in distinguishing between wild, feral, and domestic cat remains due to their similar genetic makeup and limited morphological changes over time. Furthermore, the paper investigates the role of cats in ancient societies, emphasizing their significance as symbols of divinity in ancient Egypt and their use in pest control during the Roman Iron Age. It also examines recent technological advancements, such as medical imaging, which have facilitated the study of cat mummies and provided insights into ancient mummification practices. Overall, researchers comprehensively explore the domestication, cultural significance, and morphological evolution of the domestic house cat, highlighting its enduring importance in human society.
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 | 0.000 | 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 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".