scholarly journals Chromatic-Luminance and True-Texture Analysis for Image Mining in the Social Sciences

2021 ◽  
Author(s):  
Benjamin Lucas ◽  
Ben Kozary
Keyword(s):  
Social Sciences ◽  
Texture Analysis ◽  
Research Note ◽  
Image Mining ◽  
Visual Content ◽  
The Social ◽  
R Packages

This research note highlights the use of raw HSV (Hue, Saturation, Value) colorspace representation (capturing chromatic-luminance), and true-texture (matrix-based) representation of images for image mining applications in the social sciences. Specifically: we focus on the basics of teaching computers to ‘think like people’ in making decisions about what visual content is most interesting or important to human viewers. Our examples capture the facts that, (a) computers see ‘colors as numbers’, rather than as meaningful sections of an image, and (b) computers see texture as ‘numbers’, rather than as meaningful ‘hard’ or ‘soft’ sections of an image. Illustrations are provided using the R packages ‘colorfindr’, ‘glcm’, ‘imager’ and ‘plotly’.

scholarly journals A Three-Pronged Approach to Helping Students Internalize APA Style based in Self-Determination Theory

2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Lia M. Daniels ◽  
Kathleen E. Kennedy
Keyword(s):  
Social Sciences ◽  
American Psychological Association ◽  
Self Determination Theory ◽  
Faculty Members ◽  
Research Note ◽  
Self Determination ◽  
Personal Reflection ◽  
Pedagogical Approach ◽  
American Psychological ◽  
The Social

The Publication Manual of the American Psychological Association (APA) is an invaluable resource for students and faculty members in the social sciences. However, many students and researchers fail to recognize the value of APA style in supporting writing excellence. In this research note we describe an innovative pedagogical approach to APA style that is rooted in self-determination theory. We provide preliminary retrospective evidence of internalization through students’ responses to questionnaire items and a student’s personal reflection.

scholarly journals Covid-19 and research in conflict-affected contexts: distanced methods and the digitalisation of suffering

2021 ◽  
pp. 146879412199901
Author(s):  
David Mwambari ◽  
Andrea Purdeková ◽  
Aymar Nyenyezi Bisoka
Keyword(s):  
Social Sciences ◽  
Lived Experiences ◽  
Research Process ◽  
Research Note ◽  
Peace Building ◽  
Trust Building ◽  
Ethical Challenges ◽  
Social Phenomena ◽  
The Social ◽  
Local Researcher

This research note explores the pressing ethical challenges associated with increased online platforming of sensitive research on conflict-affected settings since the onset of Covid-19. We argue that moving research online and the ‘digitalisation of suffering’ risks reducing complexity of social phenomena and omission of important aspects of lived experiences of violence or peace-building. Immersion, ‘contexting’ and trust-building are fundamental to research in repressive and/or conflict-affected settings and these are vitally eclipsed in online exchanges and platforms. ‘Distanced research’ thus bears very real epistemological limitations. Neither proximity not distance are in themselves liberating vectors. Nonetheless, we consider the opportunities that distancing offers in terms of its decolonial potential, principally in giving local researcher affiliates’ agency in the research process and building more equitable collaborations. This research note therefore aims to propose a series of questions and launch a debate amongst interested scholars, practitioners and other researchers working in qualitative research methods in the social sciences.

What Can We Learn From Factorial Surveys About Human Behavior?

Methodology ◽  
2019 ◽  
Vol 15 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Knut Petzold ◽  
Tobias Wolbring
Keyword(s):  
Social Sciences ◽  
Behavioral Intentions ◽  
Actual Behavior ◽  
Full Time ◽  
Factorial Survey ◽  
Survey Experiment ◽  
Intended Behavior ◽  
The Social ◽  
Survey Experiments ◽  
High Level

Abstract. Factorial survey experiments are increasingly used in the social sciences to investigate behavioral intentions. The measurement of self-reported behavioral intentions with factorial survey experiments frequently assumes that the determinants of intended behavior affect actual behavior in a similar way. We critically investigate this fundamental assumption using the misdirected email technique. Student participants of a survey were randomly assigned to a field experiment or a survey experiment. The email informs the recipient about the reception of a scholarship with varying stakes (full-time vs. book) and recipient’s names (German vs. Arabic). In the survey experiment, respondents saw an image of the same email. This validation design ensured a high level of correspondence between units, settings, and treatments across both studies. Results reveal that while the frequencies of self-reported intentions and actual behavior deviate, treatments show similar relative effects. Hence, although further research on this topic is needed, this study suggests that determinants of behavior might be inferred from behavioral intentions measured with survey experiments.

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