Peptide and osteological evidence for sex bias in megalithic tombs of La Lora region, Northern Iberia

The impact of age on sex bias in models for height and sex estimation based on hand and foot dimensions the impact of age on sex bias

Sex estimation by analysis of amelogenin peptides in archaeological and fossil material has recently been gaining great traction within the fields of archaeology and palaeontology. Current widely used proteomic amelogenin sex estimation methods are hindered by relatively long mass spectrometric run times, or targeting peptides specific to human amelogenin proteins. Untargeted, high-throughput amelogenin sexing would be invaluable for a range of applications, from sex estimation of remains at mass grave sites to broadening the application of rapid amelogenin sexing to non-hominin species for husbandry and evolutionary studies. A new acid etch protocol followed by Evosep-LC-TIMS-TOF mass spectrometry is presented for amelogenin analysis, providing global peptide data through rapid mass spectrometric methods in under 20 min per sample (including sample preparation, mass spectrometric acquisition and data processing). This sampling protocol was developed on modern cattle (Bos taurus) teeth, before Evosep-timsTOF partial validation with archaeological cattle and human (Homo sapiens) teeth, demonstrating the potential of straightforward application of this rapid amelogenin sexing method to a range of taxa. The rapid Evosep-LC-TIMS-TOF mass spectrometry methods gave comparable peptide counts to conventional long untargeted methods, while maintaining similar (or faster) acquisition times to those reported in methods targeting specific human amelogenin peptides. Implementation of the novel acid etch sampling approach also streamlined sample preparation without compromising peptide counts. Rapid, untargeted Evosep-LC-TIMS-TOF mass spectrometry was successfully implemented in sex estimation of modern and archaeological material from Bos taurus and Homo sapiens teeth. This demonstrates an advancement in low-cost, high-throughput amelogenin sex estimation, for both human and zooarchaeological applications.

Forensic anthropology involves analysing human skeletal remains to assist legal investigations, with sex estimation being a key component of constructing a biological profile. This study evaluated the feasibility of developing metric methods for sex estimation using femora and humeri across different populations. Logistic regression models were created from Portuguese training samples (360 femora; 329 humeri) and tested on independent Portuguese (200 femora; 150 humeri) and South African (66 femora; 66 humeri) samples. The primary goal was to develop sex estimation models using pooled data from Portuguese samples and assess their reliability across Portuguese and South African populations. Femoral models for the Portuguese testing sample achieved an accuracy between 82.0% and 85.5%, with sex bias from 0.0% to 8.0%. Humeral models showed higher accuracy, between 88.0% and 94.0%, with sex bias from 2.4% to 13.1%. In the South African sample, both femoral and humeral models exceeded 75.0% accuracy but exhibited notable sex bias. The results suggest that using a heterogeneous training set, combining data from diverse populations, offers a broader understanding of sexual dimorphism compared with a homogeneous dataset from a single group. The study emphasizes that relying solely on skeletal samples from one population is insufficient for modern forensic anthropology standards.

ObjectivesThis study examines the biological sex and geographical origins of adolescents buried at the St Mary Magdalen leprosarium (Winchester, UK). The data are combined with archaeological and palaeopathological evidence to broaden the understanding of mobility and its relationship to leprosy and leprosaria in Medieval England.Materials and MethodsNineteen individuals (~10–25 at death) with skeletal lesions diagnostic of leprosy were analyzed using standard osteological methods. Amelogenin peptides were extracted from five individuals whose biological sex could not be assessed from macroscopic methods. Enamel samples were analyzed to produce 87Sr/86Sr and δ18O values to explore mobility histories.ResultsAmelogenin peptides revealed three males and two females. Tooth enamel samples provided an 87Sr/86Sr ratio range from 0.7084 to 0.7103 (mean 0.7090, ±0.0012, 2σ). δ18OP values show a wide range of 15.6‰–19.3‰ (mean 17.8 ± 1.6‰ 2σ), with corresponding δ18ODW values ranging from −9.7‰ to −4.1‰ (mean −6.3 ± 2.4‰ 2σ).DiscussionAmelogenin peptide data reveal the presence of adolescent females with bone changes of leprosy, making them the youngest confirmed females with leprosy in the archaeological record. Results also show at least 12 adolescents were local, and seven were from further afield, including outside Britain. Since St. Mary Magdalen was a leprosarium, it is possible that these people traveled there specifically for care. Archaeological and palaeopathological data support the notion that care was provided at this facility and that leprosy stigma, as we understand it today, may not have existed in this time and place.

In the fourth millennium BCE a cultural phenomenon of monumental burial structures spread along the Atlantic façade. Megalithic burials have been targeted for aDNA analyses, but a gap remains in East Anglia, where Neolithic structures were generally earthen or timber. An early Neolithic (3762–3648 cal. BCE) burial monument at the site of Trumpington Meadows, Cambridgeshire, UK, contained the partially articulated remains of at least three individuals. To determine whether this monument fits a pattern present in megalithic burials regarding sex bias, kinship, diet and relationship to modern populations, teeth and ribs were analysed for DNA and carbon and nitrogen isotopic values, respectively. Whole ancient genomes were sequenced from two individuals to a mean genomic coverage of 1.6 and 1.2X and genotypes imputed. Results show that they were brothers from a small population genetically and isotopically similar to previously published British Neolithic individuals, with a level of genome-wide homozygosity consistent with a small island population sourced from continental Europe, but bearing no signs of recent inbreeding. The first Neolithic whole genomes from a monumental burial in East Anglia confirm that this region was connected with the larger pattern of Neolithic megaliths in the British Isles and the Atlantic façade.

ObjectivesA statistical study comparing osteological and ancient DNA determinations of sex was conducted in order to investigate whether there are sex biases in United Kingdom and Irish Neolithic megalithic burials.Materials and MethodsGenetic and osteological information from human individuals from 32 megalithic sites in the UK and Ireland dating from 4000 to 2500 cal. BCE was collected and statistically analyzed to test whether there is a true over‐representation of males at these sites. The published dataset from the study by Sánchez‐Quinto et al. in 2019 was initially analyzed before being refined and included in a larger dataset. Osteological analysis of sex bias was limited to adults with available sex estimations, and genetic analysis limited to published dataResultsTwo sites consistently returned significant p‐values suggesting a potential over‐representation in osteological males at one site (Knowe of Midhowe, Orkney) and genetic males in the other (Primrose Grange, Ireland). Cumulative statistical analyses point towards a male bias in the representation of sexes in Neolithic megalithic burials, but these results do not reflect the site‐by‐site and regional variation found in this study.DiscussionThe interpretation of sex bias, that is, the over‐representation of one sex over another ‐ depends on other socio‐cultural variables (e.g., kinship) and the emphasis placed on statistical significance. The trend towards males being over‐represented in Neolithic megalithic burials is not as clear as previously thought, and requires further testing and data collection to uncover.

This study investigates the lithic industry at the Mesolithic shell midden site of El Mazo (Andrín, Asturias), on the Asturian coastline in Northern Iberia, focusing on resource management, production strategies, and mobility patterns of the last hunter-gatherer-fishers. El Mazo provides a unique opportunity to examine lithic resource use across the Early-Middle Holocene transition, with a particular emphasis on the dynamic of the 8.2 ka climate event. Raw material analysis reveals that most lithic resources originated locally (< 30 km), although some were transported from distances exceeding 250 km, indicating extensive mobility and exchange networks. Technological trends (bladelet production) and typological changes in microliths (backed points and geometric forms) across the extensive stratigraphy connect this sequence to broader Mesolithic developments in both Iberian and European contexts. The occurrence of trapezoids and microburins at the base of the stratigraphic sequence links this assemblage to the European Second Mesolithic and the Iberian Geometric Mesolithic. The 8.2 ka event stands out as a pivotal period marked by increased mobility and intensified long-distance contacts, influencing both raw material procurement and armature typology. However, post-8000 cal BP stratigraphic units indicate a narrowing of lithic resource acquisition ranges, alongside the introduction of new geometric forms such as triangles and a novel retouch technique (“double bevel”). This highlights diachronic changes around 8000 cal BP that align with broader Iberian trends. These findings challenge traditional conceptions of the Asturian culture as isolated; instead revealing complex adaptive strategies, dynamic territorial organization, and extensive connectivity among Mesolithic groups in northern Iberia.

Sex estimation methods from the pelvis have been well-studied in research settings to estimate accuracy, error, and bias. However, patterns in casework are minimally described. We uniquely examine forensic anthropology casework in the United States retrospectively for the Phenice and Klales etal.'s sex estimation methods. Our hypothesis is that casework patterns will reflect the greater literature derived from research settings that show Phenice's method is more accurate and has lower error and sex bias. We use the publicly available Forensic Anthropology Database for Assessing Methods Accuracy. A sample of 229 cases from the United States reported the outcomes of applying these methods. McNemar's tests evaluate whether estimated sex is consistent with documented sex, and a Fisher's exact test compared the performance of the two methods. We further calculated accuracy, error, and sex biases of the methods. The McNemar's and Fisher's exact tests were not statistically significant, which indicates that both methods estimated sex at a rate close to the documented sex and to each other. Phenice's method displayed an accuracy of 99.4%, an error of 0.6%, and a sex bias of -2.4%. Alternatively, the Klales etal.'s method performed slightly lower with a 97.5% accuracy, 2.5% error, and 3.5% sex bias. Forensic anthropology casework in the United States reflects broader patterns in accuracy, error, and bias in the research setting literature, where Phenice outperforms the Klales etal.'s method, despite the values from casework probably reflecting practitioners using information beyond the method reported to make a final sex estimate.

Several studies have shown variability in basicranial measurements between populations. Therefore, each population should have specific standards to optimize the accuracy of identification. The aim of this study was to evaluate the sexual dimorphism in foramen magnum and occipital condyles measurements using 3D multidetector computed tomography (MDCT), and to assess their utility and reliability for sex estimation in a Jordanian population by means of discriminant function analyses. A total of 500 MDCT scans (288 males and 212 females) were used and a total of 8 basicranial measurements were studied (3 measurements were derived from foramen magnum, and 5 measurements were derived from occipital condyles). Significant sexual dimorphism was found in all basicranial measurements. The most dimorphic variables were length of occipital condyle and maximum bicondylar distance. Including all variables, multivariate and stepwise functions gave an overall accuracy of 77.8% and 78.6%, respectively. However, the multivariate analyses conducted separately for measurements derived from foramen magnum and occipital condyles gave lower overall accuracy of 68.6% and 70.0%, respectively. Basicranial measurements derived from foramen magnum alone predicted males with relatively higher accuracy but were poor at predicting females in the sample (82.6% were males, 49.5% were females, sex bias 33.1%). Adding occipital condyles measurements to the multivariate analysis increased the percentage of correct sexing in females and reduced considerably the sex bias (78.8% male, 76.4% female, sex bias 1.4%). Discriminant function analysis using basicranial measurements derived from both foramen magnum and occipital condyles measurements can be utilized to estimate sex in our population.

This study assessed the potential of the foramen magnum (FM) in the Malaysian juvenile population to estimate sex using computed tomography (CT) data. A total of 200 (male = 100; female = 100) CT images of Malaysian individuals aged between 8 and 16 were retrieved. The maximum length (FML) and width (FMW), area (FMA 1 and FMA 2), and index (FMI) of the three-dimensional image of the FM were measured and analysed using Mimics software version 20 (Materialise N.V., Heverlee, Belgium). These metric data were then used to develop sex estimation models through discriminant function analysis (DFA) and binary logistic regression (BLR). The results showed that all measurements in males were significantly higher than in females (p < 0.001), demonstrating a high potential for accurate sex classification. Additionally, females exhibited a wider FM than males, as indicated by the FM index. Based on univariate DFA analysis, FML and FMA 2 were identified as reliable variables for sex estimation, achieving an accuracy of 68.5% with a low sex bias rate of 1.2%. The multivariate DFA yielded a higher accuracy of 70.5% compared to the univariate analysis. Similarly, univariate and multivariate BLR analyses demonstrated comparable accuracies of 68.5%. Overall, the DFA showed greater accuracy and lower sex bias across all cases, including original and validation samples. This study suggests that FM parameters can complement existing sex estimation methods and be integrated with other techniques to improve skeletal sex determination.

ObjectivesIn tests on known individuals macroscopic sex estimation has between 70% and 98% accuracy. However, materials used to create and test these methods are overwhelming modern. As sexual dimorphism is dependent on multiple factors, it is unclear whether macroscopic methods have similar success on earlier materials, which differ in lifestyle and nutrition. This research aims to assess the accuracy of commonly used traits by comparing macroscopic sex estimates to genetic sex in medieval English material.Materials and MethodsSixty‐six individuals from the 13th to 16th century Hospital of St John the Evangelist, Cambridge, were assessed. Genetic sex was determined using a shotgun approach. Eighteen skeletal traits were examined, and macroscopic sex estimates were derived from the os coxae, skull, and os coxae and skull combined. Each trait was tested for accuracy to explore sex estimates errors.ResultsThe combined estimate (97.7%) outperformed the os coxae only estimate (95.7%), which outperformed the skull only estimate (90.4%). Accuracy rates for individual traits varied: Phenice traits were most accurate, whereas supraorbital margins, frontal bossing, and gonial flaring were least accurate. The preauricular sulcus and arc compose showed a bias in accuracy between sexes.DiscussionMacroscopic sex estimates are accurate when applied to medieval material from Cambridge. However, low trait accuracy rates may relate to differences in dimorphism between the method derivative sample and the St John's collection. Given the sex bias, the preauricular sulcus, frontal bossing, and arc compose should be reconsidered as appropriate traits for sex estimation for this group.

This paper introduces an innovative method to aid the study of conceptual onomasiological research, with a specific emphasis on diachronic variation in the metonymic patterns with which a target concept is expressed. We illustrate how the method is applied to explore and visualize such diachronic changes by means of a case study on the metonymic patterns forwomanin the history of Chinese. Visualization is done with the help of a Multidimensional Scaling solution based on the profile-based distance calculation (Geeraerts et al. 1999; Speelman et al. 2003) and by drawing diachronic trajectories in a set of MDS maps, corresponding to different metonymic targets. This method proves to be effective and feasible in detecting changes in the distribution of metonymic patterns in authentic historical corpus data. On the basis of this method, we can show that different targets exhibit different degrees of diachronic variation in their metonymic patterns. We find diachronically more stable targets (e.g.imperial woman), targets with a dominant trend in diachronic variation (e.g.a woman), and targets with highly fluctuating historical variation (e.g.beautiful woman). Importantly, we can identify the cultural and social changes that may lie behind some of these changes. Examining the results uncovered by the method offers us a better understanding of the dynamicity of metonymic conceptualizations.

Introduction In this chapter, we turn our attention to the issue of linguistic variation, and how corpora have been employed to study differences in the English language across time and across different contexts of language use. We can interpret variation in a number of different ways. One is change over time or diachronic variation. In the two sections that follow, we will look at the use of corpora to study language change in pre-contemporary and contemporary English, respectively. Yet while corpus-based analysis of language change is a broad field, the study of synchronic variation is even more extensive. In exploring corpus-based approaches to synchronic variation, we will focus on two rather distinct approaches. One approach, touched on briefly in the previous chapter, is strongly associated with Douglas Biber and colleagues; this is the so-called multi-dimensional (MD) approach. The other is associated with variationist socio-linguistics. Although, as we will see, these approaches have certain commonalities, they are distinct in that the MD approach looks at variation across genre (or register), with the individual text as the unit of variation, whereas variationist sociolinguistics looks at variation across class, gender or other social category, with the individual speaker as the unit of variation. We will discuss the MD approach, in particular, at some length, because it is methodologically extremely distinct and statistically sophisticated. Diachronic change from Old English to Modern English Looking at language change is an area of linguistics for which corpus data is particularly appropriate. No one now alive speaks Middle English as a native tongue, much less Old English; thus, even if we wish to rely on the judgements of a native speaker, we simply cannot. Instead, for these and other extinct languages there is a fixed ‘corpus’ of surviving texts which will never grow any further, except in the rare circumstance that hitherto unknown texts are discovered. An electronic corpus composed of all of these surviving texts (or a sampled subset of them) is thus the ideal tool for taking into account as much data on these historical forms as possible in an analysis of how language has changed. The quantitative analyses enabled by corpus methods are also highly valuable for the study of language change. One quite consistent finding of research in historical linguistics is that one structure very rarely replaces another in a single, sudden change. Rather, new structures arise and are initially used infrequently, and then may later increase in frequency of use, perhaps in competition with some established structure (some examples are discussed in the following section). This kind of quantitative pattern is ideally tracked by a corpus sampling texts across time.

Application of the Optimized Summed Score Attributes Method for Sex Estimation

Studies of special education students consistently indicate a preponderance of males in classrooms for the learning disabled (LD). To determine whether the overrepresentation of males and underrepresentation of females constitutes sexual discrimination, an objective index involving the discrepancy between expected and actual achievement was calculated for each student. Factors such as intelligence, socioeconomic status, and reason for referral also were investigated to help explain the large disparity of boys to girls diagnosed and placed as LD. Data were collected on 235 LD students and 290 students referred for special education who were declared not impaired (NI). No evidence was found to indicate that group membership in a sexual class was related to diagnostic and placement practices. Approximately one half of the students labeled as LD did not show a reliable discrepancy between expected and actual achievement.