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In the aftermath of the Supreme Court’s 2023 decision to effectively end race-conscious admissions practices across the nation, this paper highlights the law’s commitment to whiteness and antiblackness, invites us to mourn and to connect to possibility.

Drawing from the theoretical contributions of Cheryl Harris, Jarvis Givens and Chezare Warren, as well as the wisdom of Justice Ketanji Brown Jackson’s dissenting opinion, this paper utilizes CRT composite counterstory methodology to illuminate the antiblack reality of facially “race-neutral” admissions.

By manifesting the impossible situation that SFFA and the Supreme Court’s majority seek to normalize, the composite counterstory illuminates how Justice Jackson’s hypothetical enacts a fugitive pedagogy within a dominant legal system committed to whiteness as property; invites us to mourn, to connect to possibility and to remain committed to freedom as an intergenerational project that is inherently humanizing.

In a sobering moment where we face the end of race-conscious admissions, this paper uniquely grapples with the contradictions of affirmative action as minimally effective while also radically disruptive.

In recent years, many Western states have moved towards funding the asylum processing and resettlement systems of countries in the Global South. These forms of outsourced migration governance are upheld by a vast industry of state and non-state actors. This chapter draws on fieldwork conducted in the Republic of Nauru to look at the people and places on the frontlines of the extractive asylum industry. Using Alexander Weheliye’s (2014) concept of ‘racialising assemblages’, the author argues that outsourced asylum regimes exacerbate the continuous subjection of Indigenous and migrant communities to toxic practices and discourses. Outsourced asylum is a contemporary practice of resource extraction (much like other forms of mining) that builds on colonial extractive projects that disproportionately target communities of colour. Ongoing processes of dispossession and displacement are occurring as people and places are rendered into resources and frontline sites for the extractive asylum industry. This chapter also shows how humanitarian and liberal democratic discourses are part of the mechanics of racialised geopolitical ordering. Racialised refugees are made into destitute victims, whereas locals become brutish villains, rather than political subjects. In attending to the politics of refusal, where Nauruans and refugees refuse ingrained racialising assemblages that deny them personhood, the author stresses the importance of intersectional advocacy that highlights the toxic effects of extractive asylum regimes on local and migrant populations alike.

To remain sustainable, open source software (OSS) projects must attract new members—or newcomers—who make contributions. In this paper, the authors develop a set of hypotheses based on the knowledge barriers framework that examines how OSS communities can encourage contributions from newcomers.

Employing longitudinal data from the source code repositories of 232 OSS projects over a two-year period, the authors employ a Poisson-based mixed model to test how community characteristics, such as the main drivers of knowledge-based costs, relate to newcomers' contributions.

The results indicate that community characteristics, such as programming language choice, documentation effort and code structure instability, are the main drivers of knowledge-based contribution costs. The findings also suggest that managing these costs can result in more inclusive OSS communities, as evidenced by the number of contributing newcomers; the authors highlight the importance of maintaining documentation efforts for OSS communities.

This paper assumes that motivational factors are a necessary but insufficient condition for newcomer participation in OSS projects and that the cost to participation should be considered. Using the knowledge barriers framework, this paper identifies the main knowledge-based costs that hinder newcomer participation. To the best of the authors' knowledge, this is the first empirical study that does not limit data collection to a single hosting platform (e.g., SourceForge), which improves the generalizability of the findings.