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Abstract
Indigenous peoples are among the most vulnerable, ignored, and marginalized groups in society. Poverty is the oldest social problem and difficult to counter. The Indigenous people with which the authors live and work, the Agta Tabangnon, suffer from poverty and multidimensional socioeconomic deprivations. Indigenous peoples’ studies are qualitative, while poverty studies are typically generic, exposed to large sampling errors, and intended for nationwide decisions. Therefore, measuring poverty for specific tribes through complete enumeration with multifaceted disaggregation is critical for economic development. There is no comprehensive census specifically designed for Indigenous peoples to encompass the multidimensional aspects of their way of life. Nonetheless, the authors are resourceful in generating useful datasets from their partners. The locale is situated in the poorest district of the poorest province in the poorest region of Luzon, Philippines. The datasets contain multidimensional poverty indicators that are readily usable, along with complementary analytics to visualize the data. They may serve to measure poverty in Indigenous communities across different regions and countries. By utilizing this data, further empirical analysis, regressions, machine learning, and econometric modeling can be conducted. It can be freely utilized to target policies that address the multifaceted poverty and promote economic development within tribal communities.
Abstract
The authors describe the Qualitative Election Study of Britain ( qesb ) Party Leader Evaluation Database, a database containing 4,119 words and phrases evaluating British political party leaders. The data were collected during pre-election focus groups and interviews with participants from England, Scotland, and Wales during the General Election campaigns of 2010, 2015, 2017, and 2019. A supplementary dataset of leaders’ evaluation data from Dundee residents after the Scottish Independence Referendum in 2014 is also provided. To collect the data, participants viewed headshot pictures of major and minor party leaders (depending on where in Britain they lived) taken from party websites. Participants wrote down words or phrases they associated with each leader and coded their assessment as positive, negative, or neutral. These data are suitable for content, sentiment, and discourse analysis or analytic generalization.
Abstract
Idioms describing specific emotional states with reference to hot or cold body temperatures are ubiquitous across cultural groups and appear to reflect the interpretive affordances of basic physiological processes. Thus high-arousal emotions tend to be associated with heat and low-arousal emotions with cold. Nonetheless, these associations are not universal but are shaped by cultural history. The description in the Gospel of Luke of the disciples’ ‘burning hearts’ provides an illuminating case study. Although often read by modern interpreters as a transparent metaphor for elation or excitement, ancient usage points in a decidedly different direction, reflecting a prevailing moral and medical assumption in the Greco-Roman world that the dysregulation of the body’s innate heat is a symptom of affective and physical disorder. If Luke’s phrase nonetheless depicts desirable feelings, it would appear to be a harbinger of a new chapter in the history of emotions wherein certain ‘hot feelings’ might be understood not as unregulated passions but rather righteous fervour.
Abstract
This article analyses and compares ancient Greek and Indian social contract theories. On the Greek side, social theories comprising a contractual understanding of the origins of society are encountered, inter alia, in the works of Herodotus, Plato and Polybius – while comparable Indian accounts may be gathered from the Bṛhadāraṇyaka Upaniṣad, the Dīgha Nikāya and the Mahābhārata. Through close readings of these and other texts, it is shown that both the Greek and Indian theories largely rely on the concept of monarchy as the cornerstone of social order. The Greek and Indian accounts also incorporate certain elements reoccurring in early modern European social contract theories, yet in other respects the former fundamentally differ from the latter.
Abstract
The authors present a dataset containing transcriptions of manuscripts of the Middle Dutch strophic poem Martijn Trilogy by the Flemish poet Jacob van Maerlant. Of his very large oeuvre, Maerlant’s Strophic Poems had the longest tradition: originally written in the thirteenth century, copyists and printers continued to disseminate them until about 1500. These ten shorter poems on social, religious, and ethical issues stand out for their unusual and complex stanza form. The Martijn Trilogy was his most successful strophic poem: 17 text witnesses are extant, and the trilogy was imitated and even translated into French and Latin. This dataset contains hyperdiplomatic transcriptions of all witnesses, amounting to a total of 15,814 verses or 79,337 tokens. This open-access dataset abides by the fair principles, is licensed under a cc-by-sa license, and is made available in multiple, complementary file formats. Since these transcriptions are strictly diplomatic, this corpus offers valuable possibilities for research on scribal attributions (scribal profiling), abbreviations, stemmatology, textual stability and more.
Abstract
This article presents a novel, extensive, and thoroughly documented dataset describing Australian feature films and the personnel filling ten key production roles on those films. The dataset is curated from public information in multiple sources and draws on further supplemental resources to verify, validate and consolidate this information. In total, the data describes 22,720 roles filled by 9,397 distinct people across 1,877 films, covering an important 47-year period in the Australian film industry. The authors outline how the dataset solves several problems for scholars interested in data that provides a historical record of the collaborative filmmaking process. In particular, to address concerns about known coverage problems with popular sources such as the Internet Movie Database, this dataset has undergone extensive manual checking to ensure that it is reliable as a source of information on a national film industry. Moreover, the authors have carefully and manually linked each person appearing in the dataset, which allows the dataset to provide a rich source of information for exploring the relationality of filmmaking collaborations. The inclusion of ten key filmmaking roles further expands the utility of the dataset beyond existing datasets which tend to focus on actors and/or directors, writers and producers.