Mo’ Data, Mo’ Problems: Making Sense of Racial Discipline Disparities in a Large Diversifying Suburban High School

2018 ◽  
Vol 54 (5) ◽  
pp. 693-722 ◽  
Author(s):  
Decoteau Jermaine Irby

Purpose: This article explores the effects of sensemaking interventions on a group of educators’ race-conscious problem analysis of racial discipline disparities. Research Method: I conducted this research in a predominantly White diversifying suburban high school that served roughly1,600 students. To understand how sensemaking interventions shaped teachers’ racial ways of knowing, I conducted an ethnographic content analysis of 14 transcribed teacher focus group and data retreat exchanges to identify conversational patterns related to their problem framings. Findings: I found that providing diverse data types reflecting a range of racial perspectives offered cues that enabled organizational members to notice and (partially) disrupt the personal and organizational racism and race-evasive tendencies that drive the reproduction of racial inequities in school discipline. Implications for Research and Practice: Offering teachers sensemaking opportunities that prompt collective racial awareness and critical self-reflection can instigate shifts in racial ways of knowing that are critical to understanding and addressing discipline culture and climate problems in racially diversifying schools.

2021 ◽  
Vol 2 (3) ◽  
pp. 263178772110203
Author(s):  
Yvonne Benschop

Feminist organization theories develop knowledge about how organizations and processes of organizing shape and are shaped by gender, in intersection with race, class and other forms of social inequality. The politics of knowledge within management and organization studies tend to marginalize and silence feminist theorizing on organizations, and so the field misses out on the interdisciplinary, sophisticated conceptualizations and reflexive modes of situated knowledge production provided by feminist work. To highlight the contributions of feminist organization theories, I discuss the feminist answers to three of the grand challenges that contemporary organizations face: inequality, technology and climate change. These answers entail a systematic critique of dominant capitalist and patriarchal forms of organizing that perpetuate complex intersectional inequalities. Importantly, feminist theorizing goes beyond mere critique, offering alternative value systems and unorthodox approaches to organizational change, and providing the radically different ways of knowing that are necessary to tackle the grand challenges. The paper develops an aspirational ideal by sketching the contours of how we can organize for intersectional equality, develop emancipatory technologies and enact a feminist ethics of care for the human and the natural world.


Author(s):  
Karina Gerhardt-Strachan

Abstract The field of health promotion advocates a socioecological approach to health that addresses a variety of physical, social, environmental, political and cultural factors. Encouraging a holistic approach, health promotion examines many aspects of health and wellbeing, including physical, mental, sexual, community, social and ecological health. Despite this holism, there is a noticeable absence of discussion surrounding spirituality and spiritual health. This research study explored how leading scholars in Canadian health promotion understand the place of spirituality in health promotion. Using the fourth edition of Health Promotion in Canada (Rootman et al., 2017) as the sampling frame of recognized leaders in the field, 13 semi-structured qualitative interviews were conducted with authors from the book. This study is situated within a critical health promotion approach that utilizes methodologies aiming for social justice, equity and ecological sustainability. I argue that by avoiding spirituality within health promotion frameworks and education, the secularism of health promotion and its underlying values of Eurocentric knowledge production and science remain invisible and rarely critiqued. This study intends to open up possibilities for centering spiritual and non-Western epistemologies and ways of knowing that have been marginalized, such as Indigenous understandings of health and wellbeing. Restoring right relations with Indigenous peoples in Canada has taken on new urgency with the calls to action of the Truth & Reconciliation Commission report (NCTR, 2015). This is one important way that health promotion can fulfill its promise of being inclusive, relevant and effective for human and planetary wellbeing.


2020 ◽  
Author(s):  
Annika Tjuka ◽  
Robert Forkel ◽  
Johann-Mattis List

Psychologists and linguists have collected a great diversity of data for word and concept properties. In psychology, many studies accumulate norms and ratings such as word frequencies or age-of-acquisition often for a large number of words. Linguistics, on the other hand, provides valuable insights into relations of word meanings. We present a collection of those data sets for norms, ratings, and relations that cover different languages: ‘NoRaRe.’ To enable a comparison between the diverse data types, we established workflows that facilitate the expansion of the database. A web application allows convenient access to the data (https://digling.org/norare/). Furthermore, a software API ensures consistent data curation by providing tests to validate the data sets. The NoRaRe collection is linked to the database curated by the Concepticon project (https://concepticon.clld.org) which offers a reference catalog of unified concept sets. The link between words in the data sets and the Concepticon concept sets makes a cross-linguistic comparison possible. In three case studies, we test the validity of our approach, the accuracy of our workflow, and the applicability of our database. The results indicate that the NoRaRe database can be applied for the study of word properties across multiple languages. The data can be used by psychologists and linguists to benefit from the knowledge rooted in both research disciplines.


2021 ◽  
Author(s):  
Valentin Buck ◽  
Flemming Stäbler ◽  
Everardo Gonzalez ◽  
Jens Greinert

<p>The study of the earth’s systems depends on a large amount of observations from homogeneous sources, which are usually scattered around time and space and are tightly intercorrelated to each other. The understanding of said systems depends on the ability to access diverse data types and contextualize them in a global setting suitable for their exploration. While the collection of environmental data has seen an enormous increase over the last couple of decades, the development of software solutions necessary to integrate observations across disciplines seems to be lagging behind. To deal with this issue, we developed the Digital Earth Viewer: a new program to access, combine, and display geospatial data from multiple sources over time.</p><p>Choosing a new approach, the software displays space in true 3D and treats time and time ranges as true dimensions. This allows users to navigate observations across spatio-temporal scales and combine data sources with each other as well as with meta-properties such as quality flags. In this way, the Digital Earth Viewer supports the generation of insight from data and the identification of observational gaps across compartments.</p><p>Developed as a hybrid application, it may be used both in-situ as a local installation to explore and contextualize new data, as well as in a hosted context to present curated data to a wider audience.</p><p>In this work, we present this software to the community, show its strengths and weaknesses, give insight into the development process and talk about extending and adapting the software to custom usecases.</p>


Author(s):  
Mohammad Kamel Daradkeh

The data lake has recently emerged as a scalable architecture for storing, integrating, and analyzing massive data volumes characterized by diverse data types, structures, and sources. While the data lake plays a key role in unifying business intelligence, analytics, and data mining in an enterprise, effective implementation of an enterprise-wide data lake for business intelligence and analytics integration is associated with a variety of practical challenges. In this chapter, concrete analytics projects of a globally industrial enterprise are used to identify existing practical challenges and drive requirements for enterprise data lakes. These requirements are compared with the extant literature on data lake technologies and management to identify research gaps in analytics practice. The comparison shows that there are five major research gaps: 1) unclear data modelling methods, 2) missing data lake reference architecture, 3) incomplete metadata management strategy, 4) incomplete data lake governance strategy, and 5) missing holistic implementation and integration strategy.


2019 ◽  
Vol 26 (1) ◽  
pp. 13-23 ◽  
Author(s):  
Denisse Roca-Servat ◽  
Polina Golovátina-Mora

This article revisits a co-learning experience of a graduate course on the political ecology of water at the Master’s program in Development Studies in a Colombian private university which employed a thinking with water teaching methodology based on the ontological-epistemological-methodological unity. Water as a nearly universal solvent not only conditions life on the planet but also defines human imaginary. The physical characteristics of water such as its fluidity, plasticity, and conductivity enable a multidimensional, nonlineal, and relational thought. Because of its universal familiarity and its indispensability for life, water offers intuitive ways of knowing. The revision of the class experience showed that the materiality of water affects the dynamic of the course. It supports the idea of the performativity (Barad) of our knowledge about Self and the world. Spontaneous and resistant, water clears hidden, silenced, or ignored meanings of both social and environmental relations and, so, stimulates critical self-reflection, catalyzes social change, and promotes social justice.


Author(s):  
Joel Mieske ◽  
Martin Scherer ◽  
Mary Wells

Engineering and leadership go hand in hand for many within the engineering profession and throughout undergraduate studies. Students are challenged to work in teams, self-assign tasks, manage team members, set deadlines and see projects to completion. The Waterloo engineering Catalyst High School Summer Leadership Program (Catalyst) aligns specifically with the engineering knowledge base, problem analysis, investigation, design, lifelong learning and communication outcomes outlined by the Canadian Engineering Accreditation Board (CEAB). Catalyst was developed to link engineering problem solving and design with leadership skills.Catalyst students are engaged to develop both soft and hard skills in an effort to display the multitude of connections, benefits and opportunities available to students entering their undergraduate studies. More and more entrepreneurship, design and effective group leadership are all becoming essential traits and skills for students entering the workforce as well for those taking the leap to dream, market, build and succeed with their own ideas or products.Over the past three years, the summer leadership program has grown through trial, feedback and collaborative brainstorming to offer a four-week program that focuses on leadership skills, design, research exposure and entrepreneurship. Through hands-on design thinking and problem solving projects, entrepreneurial group study and by offering leadership experience in a controlled setting a new type of high school student emerges. One who is prepared, excited and inspired to get involved, try, fail and challenge themselves and their peers to create change and solve problems facing their generation.


2015 ◽  
Vol 3 (3) ◽  
pp. SX29-SX39 ◽  
Author(s):  
Carl Byers ◽  
Andrew Woo

The ability to integrate diverse data types from multiple live and simulated sources, manipulate them dynamically, and deploy them in integrated, visual formats and in mobile settings provides significant advantages. We have reviewed some of the benefits of volume graphics and the use of big data in the context of 3D visualization case studies, in which inherent features, such as representation efficiencies, dynamic modifications, cross sectioning, and others, could improve interpretation processes and workflows.


2019 ◽  
Vol 47 (3) ◽  
pp. 369-373 ◽  
Author(s):  
Rebecca Li ◽  
Ida Sim

Although data sharing platforms host diverse data types the features of these platforms are well-suited to facilitating biomarker research. Given the current state of biomarker discovery, an innovative paradigm to accelerate biomarker discovery is to utilize platforms such as Vivli to leverage researchers' abilities to integrate certain classes of biomarkers.


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