Epidemics of a wide variety of infectious diseases were constantly recorded in Russia. Asian cholera occupied a special place among epidemic diseases. In 1892, cholera was imported into the Russian Empire through the Black Sea ports, which reached the territory of the Kuban region by the summer of the same year. In 1892, about 300 thousand people died of cholera in Russia. They still did not know how to treat this terrible disease, did not know its mechanism of spread, as well as the peculiarities of its course. The article, prepared on the basis of an analysis of documentary data from the Archive Department of the administration of the municipal formation of the city of Novorossiysk and the archival Department of the Administration of the municipal formation of the Mostovsky district, examines the cholera epidemic that swept the territories of the Kuban region in 1892 and 1910. The authors characterize the main factors that contributed to the rapid spread of infection and assess the measures that were taken to combat the disease: the implementation of anti-cholera measures organized by the authorities was greatly hampered by the lack of education, prejudices and superstitions of the vast majority of the population; representatives of the nonresident population not only did not comply with basic standards of personal hygiene, but also expressed distrust, and sometimes and hostility towards doctors. Using archival data, the authors investigate the impact of infectious diseases on the demographic indicators of these settlements.

In September 2021 I made a collection of interview transcripts available for public use under a CreativeCommons license through the Princeton DataSpace. The interviews include 39 conversations I had with gig workers at AmazonFlex, Uber, and Lyft in 2019 as part of a study on automation efforts within these organizations. I made this decision because (1) I was required to contribute to a publicly available data set as a requirement of my funding and (2) I saw it as an opportunity to engage in the collaborative qualitative science experiments emerging in Science and Technology studies. This article documents my thought process and step-by-step design decisions for designing a study, gathering data, masking it, and publishing it in a public archive. Importantly, once I decided to publish these data, I determined that each choice about how the study would be designed and implemented had to be assessed for risk to the interviewee in a very deliberate way. It is not meant to be comprehensive and cover every possible condition a researcher may face while producing qualitative data. I aimed to be transparent both in my interview data and the process it took to gather and publish these data. I use this article to illustrate my thought process as I made each design decision for this study in hopes that it could be useful to a future researcher considering their own data publishing process.

This paper covers considerations in using criterion measures based on administrative data. We begin with a conceptual framework for understanding and evaluating administrative criterion measures as \"objective\" rather than (ratings-based) assessments of job performance. We then describe the associated advantages (e.g., availability) and disadvantages (e.g., contamination) of using administrative data for criterion-related validation purposes. Best practices in the use of administrative data for validation purposes, including procedures for (a) handling missing data, (b) performing data checks, and (c) reporting detailed decision rules so future researchers can replicate the analyses are also described. Finally, we discuss \"modern data management\" approaches for improving administrative data for supporting organizational decision-making.

The analysis of international and collaborative publication trends in prominent behavior-analytic journals has been a topic of interest for behavioral researchers. This paper focuses on publication trends from 1997 through 2020 in three prominent journals: Journal of the Experimental Analysis of Behavior (JEAB), Journal of Applied Behavior Analysis (JABA), and Perspectives on Behavior Science (PBS). The variable of interest was the percentage of articles published per geographical category-Australasia/East Asia, Europe, Latin America, Middle East, North America, and Africa. The results showed that 79, 96, and 87% of the published articles in JEAB, JABA, and PBS, respectively, were conducted by researchers with a North American affiliation. Furthermore, 12, 4, and 4% of the articles in JEAB, JABA, and PBS, respectively, were coauthored by at least two researchers from different geographical categories.

This study aimed to investigate the determinants of subjective health among South Korean senior citizens. Secondary data for the year 2018 was used from the Senior Citizen Research Panel data collected by the Korea Employment Information Service. A total of 3822 valid observations were analyzed. The dependent variable was subjective health, and the independent variables were religion participation, social gathering participation, economic activity, food expenditure, leisure expenditure, travel frequency, and art watching frequency. Descriptive analysis, correlation matrix, and independent t-test were carried out for data analysis. Multiple linear regression analysis was employed using assets, age, and gender as control variables to test the research hypotheses. The results indicate that all the proposed attributes have a significant positive impact on the subjective health of Korean senior citizens, with implications for policy making.

This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses for 29 original strategic management effects in the same context (direct reproduction) as well as in 52 novel time periods and geographies; 45% of the reproductions returned results matching the original reports together with 55% of tests in different spans of years and 40% of tests in novel geographies. Some original findings were associated with multiple new tests. Reproducibility was the best predictor of generalizability-for the findings that proved directly reproducible, 84% emerged in other available time periods and 57% emerged in other geographies. Overall, only limited empirical evidence emerged for context sensitivity. In a forecasting survey, independent scientists were able to anticipate which effects would find support in tests in new samples.

Sex differences in religiosity are cross-culturally common and robust, yet it is unclear why sex differences in some cultures are larger than in others. Although women are more religious than men in most countries, religions frequently provide asymmetrical benefits to men at the expense of women. Two global analyses (51 countries and 74 countries) found that country-level gender equality was consistently and negatively associated with religiousness (i.e. religious attendance, reported importance of God and frequency of prayer) for men, more than for women, leading to a larger sex difference in religiousness in more gender-equal countries. Results were especially robust for religious attendance, and hold accounting for country-level wealth, as well as individuals\' religious affiliation, the moralization of sexuality, age and education level. We interpret results through a rational choice lens, which assumes that people are more drawn to religion when it is consistent with their reproductive goals.

An essential component of sustainable forest management is accurate monitoring of forest activities. Although monitoring efforts have generally increased for many forests throughout the world, in practice, effective monitoring is complex. Determining the magnitude and location of progress towards sustainability targets can be challenging due to diverse forest operations across multiple jurisdictions, the lack of data standardization, and discrepancies between field inspections and remotely-sensed records. In this work, we used California as a multijurisdictional case study to explore these problems and develop an approach that broadly informs forest monitoring strategies. The State of California recently entered into a shared stewardship agreement with the US Forest Service (USFS) and set a goal to jointly treat one million acres of forest and rangeland annually by 2025. Currently, however, federal and state forest management datasets are disjoint. This work addresses three barriers stymying the use of federal and state archival records to assess management goals. These barriers are: 1) current databases from different jurisdictions have not been combined due to their distinct data collection processes and internal structures; 2) datasets have not been comprehensively analyzed, despite the need to understand the extent of previous treatments as well as the rate of current activity; and 3) the spatial accuracy of archival datasets has not been evaluated against remotely-sensed data. To reduce these barriers, we first aggregated existing archival forest management records between 1984 and 2019 from the USFS\' Forest Activity Tracking System (FACTS) and the California Department of Forestry and Fire Protection (CAL FIRE) using a qualitative scalar of treatment intensity. Combined FACTS and CAL FIRE completed footprint acres - defined as unique areas of land where a treatment was completed at any time since 1984 - have decreased since a peak in 2008. At most, 300,000 footprint acres are completed each year, 30% of the million-acre goal. Prescribed fires - defined as direct burning operations - have risen over time, according to the FACTS hazardous fuels dataset but prescribed fire records in CAL FIRE\'s dataset have rapidly increased since 2016. We also refined the spatial and temporal detail of the aggregated management record using the Continuous Change Detection and Classification algorithm on satellite remote sensing data to produce a state-wide time series map of harvest disturbances. A comparison of the algorithm\'s refined data to the archival record potentially suggests over-reporting in both FACTS and CAL FIRE\'s archival datasets. Our integrated dataset provides a better assessment of current treatments and the path towards the 1-million-acre a year goal. The refined dataset leverages the strengths of complementary, albeit imperfect, monitoring strategies from archives and remotely-sensed detection.

The preregistration of a study\'s hypotheses, methods, and data-analyses steps is becoming a popular psychological research practice. To date, most of the discussion on study preregistration has focused on the preregistration of studies that include the collection of original data. However, much of the research in psychology relies on the (re-)analysis of preexisting data. Importantly, this type of studies is different from original studies as researchers cannot change major aspects of the study (e.g., experimental manipulations, sample size). Here, we provide arguments as to why it is useful to preregister analyses of preexisting data, discuss practical considerations, consider potential concerns, and introduce a preregistration template tailored for studies focused on the analyses of preexisting data. We argue that the preregistration of hypotheses and data-analyses for analyses of preexisting data is an important step towards more transparent psychological research.

Airborne radar sounding can measure conditions within and beneath polar ice sheets. In Antarctica, most digital radar-sounding data have been collected in the last 2 decades, limiting our ability to understand processes that govern longer-term ice-sheet behavior. Here, we demonstrate how analog radar data collected over 40 y ago in Antarctica can be combined with modern records to quantify multidecadal changes. Specifically, we digitize over 400,000 line kilometers of exploratory Antarctic radar data originally recorded on 35-mm optical film between 1971 and 1979. We leverage the increased geometric and radiometric resolution of our digitization process to show how these data can be used to identify and investigate hydrologic, geologic, and topographic features beneath and within the ice sheet. To highlight their scientific potential, we compare the digitized data with contemporary radar measurements to reveal that the remnant eastern ice shelf of Thwaites Glacier in West Antarctica had thinned between 10 and 33% between 1978 and 2009. We also release the collection of scanned radargrams in their entirety in a persistent public archive along with updated geolocation data for a subset of the data that reduces the mean positioning error from 5 to 2.5 km. Together, these data represent a unique and renewed extensive, multidecadal historical baseline, critical for observing and modeling ice-sheet change on societally relevant timescales.