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Opportunities for self-directed learning were missing from our medical school curriculum in general and on our radiology electives specifically. Our objective was to explore the feasibility and benefits of using medical students in the development of our student-created teaching files.

In 2018, a website was developed at our institution to support medical student radiology education and create a repository for the online publication of student-developed teaching cases. Students participating in radiology clerkships at our institution had an opportunity to submit case presentations for publication to our online teaching file following peer review. The medical students participated in the peer review process facilitated by the faculty director of radiology undergraduate medical education. The faculty member oversaw the training of new student editors and the development of a peer review guide.

The peer review guide included goals of the teaching file project and direction regarding the peer review process. Student editors were trained using the peer review guide in conjunction with individual meetings with the faculty mentor. At twenty-four months, 82 student-developed cases had been published to the online teaching file following medical student peer review. The teaching file had garnered 3884 page views.

The medical student-led peer review process meets core competencies in self-directed learning. The authors plan to explore the application of peer-assisted learning theories to the editing and peer-review process.

The medical student-led peer review process meets core competencies in self-directed learning. The authors plan to explore the application of peer-assisted learning theories to the editing and peer-review process.Although population history and dispersal are back at the forefront of the archaeological agenda, they are often studied in relative isolation. This contribution aims at combining both dimensions, as population dispersal is, by definition, a demographic process. Using a case study drawn from the Early Neolithic of South-Eastern Europe, we use radiocarbon dates to jointly investigate changes in speed and population size linked to the new food production economy and demonstrate that the spread of farming in this region corresponds to a density-dependent dispersal process. The implications of this characterization are evaluated in the discussion. This article is part of the theme issue ‘Cross-disciplinary approaches to prehistoric demography’.Prehistoric demography has recently risen to prominence as a potentially explanatory variable for episodes of cultural change as documented in the archaeological and ethnographic record. While this has resulted in a veritable boom in methodological developments seeking to address temporal changes in the relative size of prehistoric populations, little work has focused on the manner in which population dynamics manifests across a spatial dimension. Most recently, the so-called Cologne Protocol has led the way in this endeavour. However, strict requirements of raw-material exchange data as analytical inputs have prevented further applications of the protocol to regions outside of continental Europe. We apply an adjusted approach of the protocol that makes it transferable to cases in other parts of the world, while demonstrating its use by providing comparative benchmarks of previous research on the Late Glacial Final Palaeolithic of southern Scandinavia, and novel insights from the early Holocene pioneer colonization of coastal Norway. We demonstrate again that population size and densities remained fairly low throughout the Late Glacial, and well into the early Holocene. We suggest that such low population densities have played a significant role in shaping what may have been episodes of cultural loss, as well as potentially longer periods of only relatively minor degrees of cultural change. This article is part of the theme issue ‘Cross-disciplinary approaches to prehistoric demography’.Population matters. Demographic patterns are both a cause and a consequence of human behaviour in other important domains, such as subsistence, cooperation, politics and culture. Demographers interested in contemporary and recent historical populations have rich data at their fingertips; the importance of demography means many interested parties have gathered demographic data, much of which is now readily available for all to explore. Those interested in the demography of the distant past are not so fortunate, given the lack of written records. selleck products Nevertheless, the emergence in recent years of a new interest in the demography of ancient populations has seen the development of a range of new methods for piecing together archaeological, skeletal and DNA evidence to reconstruct past population patterns. These efforts have found evidence in support of the view that the relatively low long-term population growth rates of prehistoric human populations, albeit ultimately conditioned by carrying capacities, may have been owing to ‘boom-bust’ cycles at the regional level; rapid population growth, followed by population decline. In fact, this archaeological research may have come to the same conclusion as some contemporary demographers that demography can be remarkably hard to predict, at least in the short term. It also fits with evidence from biology that primates, and particularly humans, may be adapted to environmental variability, leading to associated demographic stochasticity. This evidence of the fluctuating nature of human demographic patterns may be of considerable significance in understanding our species’ evolution, and of understanding what our species future demographic trajectories might be. This article is part of the theme issue ‘Cross-disciplinary approaches to prehistoric demography’.In this paper, we test the hypothesis of the Neolithic Demographic Transition in the Central Balkan Early Neolithic (6250-5300 BC) by applying the method of summed calibrated probability distributions to the set of more than 200 new radiocarbon dates from Serbia. The results suggest that there was an increase in population size after the first farmers arrived to the study area around 6250 BC. This increase lasted for approximately 250 years and was followed by a decrease in the population size proxy after 6000 BC, reaching its minimum around 5800 BC. This was followed by another episode of growth until 5600 BC when population size proxy rapidly declined, reaching the minimum again around 5500 BC. The reconstructed intrinsic growth rate value indicates that the first episode of growth might have been fuelled both by high fertility and migrations, potentially related to the effects of the 8.2 ky event. The second episode of population growth after 5800 BC was probably owing to the high fertility alone. It remains unclear what caused the episodes of population decrease.