Finger Fluting in Prehistoric Caves: A Critical Analysis of the Evidence for Children, Sexing and Tracing of Individuals
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 Finger flutings are channels drawn in soft sediments covering walls, floors and ceilings of some limestone caves in Europe and Australia and in some cases date as far back as 50,000 years ago. Initial research focused on why they were made, but more recently, as part of a growing interest in the individual in the past, researchers began asking questions about who made them. This shift in direction has led to claims that by measuring the width of flutings made with the three middle fingers of either hand, archaeologists can infer the ordinal age, sex and individuality of the ‘fluter’. These claims rest on a single dataset created in 2006. In this paper, we undertake the first critical analysis of that dataset and its concomitant methodologies. We argue that sample size, uneven distribution of sex and age within the sample, non-standardised medium, human variability, the lack of comparability between an experimental context and real cave environments and assumptions about demographic modelling effectively negate all previous claims. To sum, we find no substantial evidence for the claims that an age, sex and individual tracing can be revealed by measuring finger flutings as described by Sharpe and Van Gelder (Antiquity 80: 937-947, 2006a; Cambridge Archaeological Journal 16: 281–95, 2006b; Rock Art Research 23: 179–98, 2006c). As a case study, we discuss Koonalda Cave in southern Australia. Koonalda has the largest and most intact display of finger flutings in the world and is also part of a cultural landscape maintained and curated by Mirning people.
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 | 0.002 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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