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Dataset on the relations between religious and secular attitudes.

ABSTRACT: This article presents data that examines the relationship between Religious orientation (Extrinsic, Intrinsic, and Quest), Religious fundamentalism, Secularism of state, Attitudes toward pre-implantation genetic diagnosis, Attitudes toward embryonic stem cells research, Attitudes toward same-sex marriage, Attitude towards adoption by same-sex couples, and Social desirability. The sample consists of 312 Italians, who completed a questionnaire containing measures of investigate construct. Participants were contacted in various places and asked to complete a questionnaire individually. Only participants who said they were Italian and Catholic were included in this dataset. All participants were informed that their responses would remain confidential. Sample demographics, descriptive statistics, and correlations among measures were provided.

SUBMITTER: Hichy Z

PROVIDER: S-EPMC6921142 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Dataset on the relations between religious and secular attitudes.

Hichy Zira Z Di Marco Graziella G Sciacca Federica F

Data in brief 20191204

This article presents data that examines the relationship between Religious orientation (Extrinsic, Intrinsic, and Quest), Religious fundamentalism, Secularism of state, Attitudes toward pre-implantation genetic diagnosis, Attitudes toward embryonic stem cells research, Attitudes toward same-sex marriage, Attitude towards adoption by same-sex couples, and Social desirability. The sample consists of 312 Italians, who completed a questionnaire containing measures of investigate construct. Particip ...[more]

PMID: 31886357

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Project description:ObjectiveThe purpose of this study is to explore Protestant religious leaders' attitudes towards abortion and their strategies for pastoral care in Georgia, USA. Religious leaders may play an important role in providing sexual and reproductive health pastoral care given a long history of supporting healing and health promotion.MethodsWe conducted 20 in-depth interviews with Mainline and Black Protestant religious leaders on their attitudes toward abortion and how they provide pastoral care for abortion. The study was conducted in a county with relatively higher rates of abortion, lower access to sexual and reproductive health services, higher religiosity, and greater denominational diversity compared to other counties in the state. Interviews were audio-recorded, transcribed verbatim, and analyzed by thematic analysis.ResultsReligious leaders' attitudes towards abortion fell on a spectrum from "pro-life" to "pro-choice". However, most participants expressed attitudes in the middle of this spectrum and described more nuanced, complex, and sometimes contradictory views. Differences in abortion attitudes stemmed from varying beliefs on when life begins and circumstances in which abortion may be morally acceptable. Religious leaders described their pastoral care on abortion as "journeying with" congregants by advising them to make well-informed decisions irrespective of the religious leader's own attitudes. However, many religious leaders described a lack of preparation and training to have these conversations. Leaders emphasized not condoning abortion, yet being willing to emotionally support women because spiritual leaders are compelled to love and provide pastoral care. Paradoxically, all leaders emphasized the importance of empathy and compassion for people who have unplanned pregnancies, yet only leaders whose attitudes were "pro-choice" or in the middle of the spectrum expressed an obligation to confront stigmatizing attitudes and behaviors towards people who experience abortion. Additionally, many leaders offer misinformation about abortion when offering pastoral care.ConclusionThese findings contribute to limited empirical evidence on pastoral care for abortion. We found religious leaders hold diverse attitudes and beliefs about abortion, rooted in Christian scripture and doctrine that inform advice and recommendations to congregants. While religious leaders may have formal training on pastoral care in general or theological education on the ethical issues related to abortion, they struggle to integrate their knowledge and training across these two areas. Still, leaders could be potentially important resources for empathy, compassion, and affirmation of agency in abortion decision-making, particularly in the Southern United States.

Project description:BackgroundMelanoma is one of the least common but the deadliest of skin cancers. This cancer begins when the genes of a cell suffer damage or fail, and identifying the genes involved in melanoma is crucial for understanding the melanoma tumorigenesis. Thousands of publications about human melanoma appear every year. However, while biological curation of data is costly and time-consuming, to date the application of machine learning for gene-melanoma relation extraction from text has been severely limited by the lack of annotated resources.ResultsTo overcome this lack of resources for melanoma, we have exploited the information of the Melanoma Gene Database (MGDB, a manually curated database of genes involved in human melanoma) to automatically build an annotated dataset of binary relations between gene and melanoma entities occurring in PubMed abstracts. The entities were automatically annotated by state-of-the-art text-mining tools. Their annotation includes both the mention text spans and normalized concept identifiers. The relations among the entities were annotated at concept- and mention-level. The concept-level annotation was produced using the information of the genes in MGDB to decide if a relation holds between a gene and melanoma concept in the whole abstract. The exploitability of this dataset was tested with both traditional machine learning, and neural network-based models like BERT. The models were then used to automatically extract gene-melanoma relations from the biomedical literature. Most of the current models use context-aware representations of the target entities to establish relations between them. To facilitate researchers in their experiments we generated a mention-level annotation in support to the concept-level annotation. The mention-level annotation was generated by automatically linking gene and melanoma mentions co-occurring within the sentences that in MGDB establish the association of the gene with melanoma.ConclusionsThis paper presents a corpus containing gene-melanoma annotated relations. Additionally, it discusses experiments which show the usefulness of such a corpus for training a system capable of mining gene-melanoma relationships from the literature. Researchers can use the corpus to develop and compare their own models, and produce results which might be integrated with existing structured knowledge databases, which in turn might facilitate medical research.

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Dataset on the relations between religious and secular attitudes.

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Dataset on the relations between religious and secular attitudes.

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