Evidence map›Paper›PMID 34714863›Full record

ArticlePloS one2021

A way to break bones? The weight of intuitiveness.

Delphine Vettese, Trajanka Stavrova, Antony Borel, Juan Marín, Marie-Hélène Moncel, Marta Arzarello, Camille Daujeard

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 4 countries.

Delphine VetteseHistoire Naturelle de l'Homme Préhistorique (HNHP, UMR 7194), Muséum national d'Histoire naturelle (MNHN), Homme et Environnement, Equipe Nomade, CNRS, Institut de Paléontologie Humaine, Sorbonne Universités, Paris, France.ORCID 0000-0001-6441-6054
Trajanka StavrovaHistoire Naturelle de l'Homme Préhistorique (HNHP, UMR 7194), Muséum national d'Histoire naturelle (MNHN), Homme et Environnement, Equipe Nomade, CNRS, Institut de Paléontologie Humaine, Sorbonne Universités, Paris, France.
Antony BorelHistoire Naturelle de l'Homme Préhistorique (HNHP, UMR 7194), Muséum national d'Histoire naturelle (MNHN), Homme et Environnement, Equipe Nomade, CNRS, Institut de Paléontologie Humaine, Sorbonne Universités, Paris, France.ORCID 0000-0002-6014-1863
Juan MarínHistoire Naturelle de l'Homme Préhistorique (HNHP, UMR 7194), Muséum national d'Histoire naturelle (MNHN), Homme et Environnement, Equipe Nomade, CNRS, Institut de Paléontologie Humaine, Sorbonne Universités, Paris, France.ORCID 0000-0002-5698-602X
Marie-Hélène MoncelHistoire Naturelle de l'Homme Préhistorique (HNHP, UMR 7194), Muséum national d'Histoire naturelle (MNHN), Homme et Environnement, Equipe Nomade, CNRS, Institut de Paléontologie Humaine, Sorbonne Universités, Paris, France.
Marta ArzarelloDipartimento degli Studi Umanistici, Sezione di Scienze Preistoriche e Antropologiche, Università degli Studi di Ferrara, Ferrara, Italy.
Camille DaujeardHistoire Naturelle de l'Homme Préhistorique (HNHP, UMR 7194), Muséum national d'Histoire naturelle (MNHN), Homme et Environnement, Equipe Nomade, CNRS, Institut de Paléontologie Humaine, Sorbonne Universités, Paris, France.
Centre National de la Recherche Scientifique · FREötvös Loránd University · HUUniversity of Ferrara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the Paleolithic period, bone marrow extraction was an essential source of fat nutrients for hunter-gatherers especially throughout cold and dry seasons. This is attested by the recurrent findings of percussion marks in osteological material from anthropized archaeological levels. Among them some showed indicators that the marrow extraction process was part of a butchery cultural practice, meaning that the inflicted fracturing gestures and techniques were recurrent, standardized and counter-intuitive. In order to assess the weight of the counter-intuitive factor in the percussion mark pattern distribution, we carried out an experiment that by contrast focuses on the intuitive approach of fracturing bones to extract marrow, involving individual without experience in this activity. We wanted to evaluate the influence of bone morphology and the individuals' behaviour on the distribution of percussion marks. Twelve experimenters broke 120 limb bones, a series of 10 bones per individual. During the experiment, information concerning the fracture of the bones as well as individual behaviour was collected and was subsequently compared to data from the laboratory study of the remains. Then, we applied an innovative GIS (Geographic Information System) method to analyze the distribution of percussion marks to highlight recurrent patterns. Results show that in spite of all the variables there is a high similarity in the distribution of percussion marks which we consider as intuitive patterns. The factor influenced the distribution for the humerus, radius-ulna and tibia series is the bone morphology, while for the femur series individual behaviour seems to have more weight in the distribution. To go further in the subject we need to compare the intuitive models with the distributions of percussion marks registered in fossil assemblages. Thus, it would be possible to propose new hypotheses on butchering practices based on the results presented in this work.

Indexed as

Fractures, BoneIntuitionAdultAnimalsArchaeologyBone and BonesCattleFemaleFossilsHominidaeHumansMaleYoung Adult

Identifiers

PMID34714863
PMCPMC8555848
OpenAlexW3209098945

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.