“It is not possible to be Dutch, and Muslim, and Black:” Second-Generation Youths’ Everyday Practices of Resisting Racism and Islamophobia in the Netherlands
Bibliographic record
Abstract
Xenophobia and nationalism are rising in countries across Europe and 'Western,' liberal democracies globally.Alongside anti-immigrant discourses, Islamophobia and anti-Blackness -two forms of racism -work to exclude certain bodies from full social citizenship.Taking the Netherlands as a case study, this research interrogates normative constructions of citizenship and the everyday register of belonging by investigating how second-generation Black and Muslim Dutch youth resist and subvert processes of exclusion and how they imaginatively prefigure different futures and realities.In this research, semi-structured interviews and a 14-week theatre project are both the method and the object of study in and of itself.Approaching this research with an ethics of solidarity, I use theatre to engage participants more fully in the research process and as a tool to further theorize more unconscious or intuitive practices.I specifically focus on the everyday: this micro-level of analysis reveals how marginalized Dutch youth grapple with complex yet mundane dilemmas and enact different visions for the future through seemingly ordinary and commonplace gestures and decisions.First, I look at how normative white Dutch discourses of exclusion, such as the expression doe normaal and the lexicon around 'othering,' work to foster a fragmented sense of belonging among racialized Dutch youth.Second, I examine the importance of affect and emotion as tools both in normative discourses of exclusion of mainstream white Dutch society and in coping mechanisms and visions of alternate realities of marginalized Dutch youth.Third, I analyze how the practices of everyday resistance employed by second-generation Dutch youth are mediated and tempered by pressures to iii assimilate but also how resistance, instead of being against something, prefigures alternate futures.This research calls for racialized Dutch youth, policy makers, and educators to expand the lexicon with which to engage and enhance public dialogue around racism and Islamophobia in the Netherlands.It also invites white Dutch society to sit with and practice discomfort as a way of moving beyond white innocence and other forms of privilege which shut down conversation.Finally, it contributes to understanding resistance as working in the margins of consciousness towards a third space of imagined possibilities.There are many people who have been a part of this journey and cheered me along at different stages.While there is not enough space to name everyone, I would like to recognize certain individuals and organizations that have been integral to the success of my PhD.Though I cannot mention them by name, I would like to extend my biggest thanks to all the youth who participated in this project.You generously gave your time, shared your experiences, and entrusted me with your thoughts.I am in awe of what we collectively created and the energy you brought to this undertaking.I hope you feel this dissertation does justice to what we have experienced together.This project also could not have happened without The Seed in Rotterdam.Specifically, I would like to thank Maurice Blokhuis for all the time, energy,
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".