Results 21 to 30 of about 850 (123)

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Targeted Trade Policy Instruments and Climate Change Mitigation: The Case of Environmental Provisions in Trade Agreements

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT This article examines the effect of including environmental provisions (EPs) in preferential trade agreements (PTAs) on climate change mitigation and explores whether these effects vary based on the heterogeneity of the EPs. Our analysis combines country‐level data on climate change mitigation with details on 300 types of EPs in 775 trade ...
Petros Suzgo Kayovo Mkandawire, Dela‐Dem Doe Fiankor, Bernhard Brümmer   +2 more
wiley   +1 more source

The regularity game: Investigating linguistic rule dynamics in a population of interacting agents [PDF]

Cognition, 2017
Rules are an efficient feature of natural languages which allow speakers to use a finite set of instructions to generate a virtually infinite set of utterances. Yet, for many regular rules, there are irregular exceptions. There has been lively debate in cognitive science about how individual learners acquire rules and exceptions; for example, how they ...
Cuskley, Christine, CASTELLANO, CLAUDIO, COLAIORI, FRANCESCA, LORETO, Vittorio, Pugliese, Martina, TRIA, FRANCESCA   +5 more
openaire   +3 more sources

When property becomes rent

American Ethnologist, EarlyView.
Abstract For millions of working‐class Mexicans, property has turned into rent. This transformation has fundamentally dislocated social reproduction in Mexico by eroding households’ ability to envision themselves as holders of patrimony and as lasting social formations. To understand how and to what effect property turned into rent, we must look to the
Inés Escobar González
wiley   +1 more source

Verbal Working Memory Is Related to the Acquisition of Cross-Linguistic Phonological Regularities [PDF]

Frontiers in Psychology, 2017
Closely related languages share cross-linguistic phonological regularities, such as Frisian -âld [ͻ:t] and Dutch -oud [ʱut], as in the cognate pairs kâld [kͻ:t] - koud [kʱut] 'cold' and wâld [wͻ:t] - woud [wʱut] 'forest'. Within Bybee's (1995, 2001, 2008, 2010) network model, these regularities are, just like grammatical rules within a language ...
Evelyn Bosma, Evelyn Bosma, Evelyn Bosma, Wilbert Heeringa, Eric Hoekstra, Arjen Versloot, Arjen Versloot, Elma Blom   +7 more
openaire   +7 more sources

Decoding the language of first impressions: Comparing models of first impressions of faces derived from free‐text descriptions and trait ratings

British Journal of Psychology, EarlyView.
Abstract First impressions formed from facial appearance predict important social outcomes. Existing models of these impressions indicate they are underpinned by dimensions of Valence and Dominance, and are typically derived by applying data reduction methods to explicit ratings of faces for a range of traits.
Alex L. Jones, Victor Shiramizu, Benedict C. Jones   +2 more
wiley   +1 more source

Scoping review on natural language processing applications in counselling and psychotherapy

British Journal of Psychology, EarlyView.
Abstract Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) techniques that are used to analyse text data. This study endeavours to offer an up‐to‐date review of NLP applications by examining their use in counselling and psychotherapy from 1990 to 2021.
Maria Laricheva, Yan Liu, Edward Shi, Amery Wu   +3 more
wiley   +1 more source

Negative and Positive Body‐Related Emotions Derived From Voice Recordings During a Mirror Task in Anorexia and Bulimia Nervosa: A Natural Language Processing Approach Using RoBERTa

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Body dissatisfaction has been linked to negative and positive emotions. The validity of self‐report methods to assess emotions in individuals with eating disorders is limited, prompting a shift towards methods like natural language processing to analyze speech content.
Linda Marie Sadowski, Christopher Lalk, Vanessa Hofschröer, Fanny Alexandra Dietel, Julia Tanck, Julian A. Rubel, Andrea S. Hartmann, Silja Vocks   +7 more
wiley   +1 more source

Citizenship in the Context of Contested Nationalism: Insights From Basque Social Movements

Studies in Ethnicity and Nationalism, EarlyView.
ABSTRACT This paper contributes to knowledge about social movements' visions of citizenship. The aim is twofold: on the one hand, to offer an analysis of how social movements understand the subjective and objective dimensions of citizenship. On the other, to explore how a context of national conflict shapes activists' perspectives on this concept.
Marina Sagastizabal, Noemi Bergantiños, Iker Iraola, Julen Zabalo, Maddalen Epelde   +4 more
wiley   +1 more source